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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 53 new columns ({'calibration_done', 'raw_data_ti_ab_size', 'protocol', 'ft_label_type', 'has_ti_ab_labels', 'split', 'has_exclusion_reasons', 'paper_after_ft_size', 'data_doi', 'exclusion_reasons', 'paper_link', 'labels_match', 'exclude_semi_duplicate', 'label_check_done', 'paper_others_added', 'research_question', 'original_data', 'review_type', 'location', 'exclude_access', 'languages', 'ft_screeners', 'exclude_language', 'ti_ab_comments', 'paper_ft_size', 'ti_ab_screeners', 'raw_data_search_size', 'license_paper', 'raw_data_ft_size', 'ft_comments', 'criteria_question', 'has_multiple_ti_ab_labels', 'screening_content', 'number_of_databases', 'databases_searched', 'exclude_other', 'n_records_included', 'open_access_status', 'journal', 'review_standard', 'analysis_labels_available', 'paper_search_size', 'search_quality', 'screening_multiple', 'license_data', 'key', 'collection_link', 'paper_inclusion_pct', 'paper_ti_ab_size', 'data_location', 'n_records', 'eligibility_criteria', 'notes_on_sizes'}) and 4 missing columns ({'label_included', 'label_abstract_included', 'lens_id', 'doi'}).
This happened while the csv dataset builder was generating data using
hf://datasets/thiagonelsi/SYNERGY/metadata/review_metadata.csv (at revision b00cf2b26f089b02246c119f1e76f5f40a24f443), ['hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Abgaz_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Adamo_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ali_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Anmarkrud_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Aouad_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Appenzeller-Herzog_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Attai_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bakker-Jacobs_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bech_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bindoli_2024a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bindoli_2024b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Boersma-van_Dam_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bos_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bosch_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bosch_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Brons_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Brouwer_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Burska_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Butink_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Chakraborty_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Chueca_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Cinquin_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Clarinval_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Clark_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Cozim-Melges_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Deckers_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Dolinska_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Donners_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Dornauer_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Eggmann_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Endedijk_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Farisogullari_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Fejza_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ferreira_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Filges_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Filges_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Fong_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Giesen_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Greca_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hall_2011.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hamaker_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hanlon_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Harms_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hilfiker_2017.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kapuka_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kerschbaumer_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kerschbaumer_2024a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kerschbaumer_2024b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Lauper_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Leenaars_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Leenaars_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Lewowski_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Low_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Maciel_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Marques_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Meijboom_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Mejean_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Menon_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Mohamed_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Monschau_2025.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Moran_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Moseng_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Muthu_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Nobrega-Dos_Santos_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Noetel_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Oliveira_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Oud_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Parodis_2023a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Parodis_2023b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Pijls_2017.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Pijls_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Pinos-Cisneros_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Quevedo_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ramiro_2015.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Rinne_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Roberts_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ruggeri_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sanchez-Acedo_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sanchez-Alvarez_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sanchez-Gomez_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Santos_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Seghers_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sep_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sepriano_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sepriano_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Smid_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Taschner_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Tektonidou_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Theobald_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Toffalini_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Tumkaya_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Verdugo-Castro_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Viguie_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Walker_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ward_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Wassenaar_2017.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Webers_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Wijnen_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Williamson_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Wolters_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Xu_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zakeri-Nasrabadi_2023a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zakeri-Nasrabadi_2023b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zanframundo_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zinsser_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/de_Matteis_2024a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/de_Matteis_2024b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/metadata/review_metadata.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Ballegooijen_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Dis_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Heugten_Breurkes_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Hoorn_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_de_Schoot_2025.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_der_Valk_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_der_Waal_2022.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
key: string
split: string
data_doi: string
n_records: int64
n_records_included: int64
eligibility_criteria: string
title: string
abstract: string
paper_link: string
openalex_id: string
data_location: string
collection_link: string
screening_multiple: int64
screening_content: int64
protocol: int64
search_quality: int64
criteria_question: int64
labels_match: string
exclusion_reasons: int64
review_standard: double
original_data: int64
research_question: string
location: string
journal: string
review_type: string
open_access_status: string
license_paper: string
license_data: string
languages: string
number_of_databases: int64
databases_searched: string
ti_ab_screeners: double
calibration_done: int64
label_check_done: double
ti_ab_comments: string
ft_screeners: double
ft_comments: string
has_ti_ab_labels: int64
has_multiple_ti_ab_labels: int64
has_exclusion_reasons: int64
ft_label_type: string
analysis_labels_available: double
exclude_access: double
exclude_language: double
exclude_semi_duplicate: double
exclude_other: double
paper_search_size: int64
paper_ti_ab_size: double
paper_ft_size: int64
paper_after_ft_size: string
paper_others_added: double
paper_inclusion_pct: double
raw_data_search_size: int64
raw_data_ti_ab_size: double
raw_data_ft_size: int64
notes_on_sizes: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 7454
to
{'openalex_id': Value('string'), 'doi': Value('string'), 'lens_id': Value('string'), 'title': Value('string'), 'abstract': Value('string'), 'label_included': Value('int64'), 'label_abstract_included': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 53 new columns ({'calibration_done', 'raw_data_ti_ab_size', 'protocol', 'ft_label_type', 'has_ti_ab_labels', 'split', 'has_exclusion_reasons', 'paper_after_ft_size', 'data_doi', 'exclusion_reasons', 'paper_link', 'labels_match', 'exclude_semi_duplicate', 'label_check_done', 'paper_others_added', 'research_question', 'original_data', 'review_type', 'location', 'exclude_access', 'languages', 'ft_screeners', 'exclude_language', 'ti_ab_comments', 'paper_ft_size', 'ti_ab_screeners', 'raw_data_search_size', 'license_paper', 'raw_data_ft_size', 'ft_comments', 'criteria_question', 'has_multiple_ti_ab_labels', 'screening_content', 'number_of_databases', 'databases_searched', 'exclude_other', 'n_records_included', 'open_access_status', 'journal', 'review_standard', 'analysis_labels_available', 'paper_search_size', 'search_quality', 'screening_multiple', 'license_data', 'key', 'collection_link', 'paper_inclusion_pct', 'paper_ti_ab_size', 'data_location', 'n_records', 'eligibility_criteria', 'notes_on_sizes'}) and 4 missing columns ({'label_included', 'label_abstract_included', 'lens_id', 'doi'}).
This happened while the csv dataset builder was generating data using
hf://datasets/thiagonelsi/SYNERGY/metadata/review_metadata.csv (at revision b00cf2b26f089b02246c119f1e76f5f40a24f443), ['hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Abgaz_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Adamo_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ali_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Anmarkrud_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Aouad_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Appenzeller-Herzog_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Attai_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bakker-Jacobs_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bech_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bindoli_2024a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bindoli_2024b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Boersma-van_Dam_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bos_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bosch_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Bosch_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Brons_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Brouwer_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Burska_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Butink_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Chakraborty_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Chueca_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Cinquin_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Clarinval_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Clark_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Cozim-Melges_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Deckers_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Dolinska_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Donners_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Dornauer_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Eggmann_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Endedijk_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Farisogullari_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Fejza_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ferreira_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Filges_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Filges_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Fong_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Giesen_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Greca_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hall_2011.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hamaker_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hanlon_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Harms_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Hilfiker_2017.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kapuka_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kerschbaumer_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kerschbaumer_2024a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Kerschbaumer_2024b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Lauper_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Leenaars_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Leenaars_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Lewowski_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Low_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Maciel_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Marques_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Meijboom_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Mejean_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Menon_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Mohamed_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Monschau_2025.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Moran_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Moseng_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Muthu_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Nobrega-Dos_Santos_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Noetel_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Oliveira_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Oud_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Parodis_2023a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Parodis_2023b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Pijls_2017.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Pijls_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Pinos-Cisneros_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Quevedo_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ramiro_2015.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Rinne_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Roberts_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ruggeri_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sanchez-Acedo_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sanchez-Alvarez_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sanchez-Gomez_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Santos_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Seghers_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sep_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sepriano_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Sepriano_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Smid_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Taschner_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Tektonidou_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Theobald_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Toffalini_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Tumkaya_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Verdugo-Castro_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Viguie_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Walker_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Ward_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Wassenaar_2017.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Webers_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Wijnen_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Williamson_2023.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Wolters_2018.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Xu_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zakeri-Nasrabadi_2023a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zakeri-Nasrabadi_2023b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zanframundo_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/Zinsser_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/de_Matteis_2024a.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/de_Matteis_2024b.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/metadata/review_metadata.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Ballegooijen_2024.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Dis_2019.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Heugten_Breurkes_2022.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_Hoorn_2020.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_de_Schoot_2025.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_der_Valk_2021.csv', 'hf://datasets/thiagonelsi/SYNERGY@b00cf2b26f089b02246c119f1e76f5f40a24f443/van_der_Waal_2022.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
openalex_id string | doi string | lens_id string | title string | abstract string | label_included int64 | label_abstract_included int64 |
|---|---|---|---|---|---|---|
https://openalex.org/w3028783161 | https://doi.org/10.1109/icsa47634.2020.00023 | 060-939-344-289-222 | From Monolithic Architecture Style to Microservice one Based on a Semi-Automatic Approach | Due to its tremendous advantages, microservice architectural style has become an essential element for the development of applications deployed on the cloud and for those adopting the DevOps practices. Nevertheless, while microservices can be used to develop new applications, there are monolithic ones, that are not wel... | 1 | 1 |
https://openalex.org/w3163266571 | https://doi.org/10.3390/app11104350 | 024-096-260-278-819 | Evaluating Service-Oriented and Microservice Architecture Patterns to Deploy eHealth Applications in Cloud Computing Environment | This article proposes a new framework for a Cloud-based eHealth platform concept focused on Cloud computing environments, since current and emerging approaches using digital clinical history increasingly demonstrate their potential in maintaining the quality of the benefits in medical care services, especially in compu... | 0 | 0 |
https://openalex.org/w3068636631 | https://doi.org/10.1016/j.jss.2020.110798 | 093-944-352-652-195 | A Systematic Mapping Study on Microservices Architecture in DevOps | Context: Applying Microservices Architecture (MSA) in DevOps has received significant attention in recent years. However, there exists no comprehensive review of the state of research on this topic. Objective: This work aims to systematically identify, analyze, and classify the literature on MSA in DevOps. Methods: A S... | 0 | 0 |
https://openalex.org/w2908689186 | https://doi.org/10.7763/ijcte.2018.v10.1219 | 057-404-017-637-809 | An Approach to Evolving Legacy Enterprise System to Microservice-Based Architecture through Feature-Driven Evolution Rules | Evolving legacy enterprise systems into a lean system architecture has been on the agendas of many enterprises. Recent advance in legacy system evaluation is in favour of microservice technologies, which not only significantly reduce the complexity in deployment of enterprise systems but also enhance the availability o... | 0 | 0 |
https://openalex.org/w4297063250 | https://doi.org/10.1007/978-3-319-70578-1_16 | 057-005-583-452-253 | Joining Jolie to Docker | Cloud computing is steadily growing and, as IaaS vendors have started to offer pay-as-you-go billing policies, it is fundamental to achieve as much elasticity as possible, avoiding over-provisioning that would imply higher costs. In this paper, we briefly analyse the orchestration characteristics of PaaSSOA, a proposed... | 0 | 0 |
https://openalex.org/w2922061842 | https://doi.org/10.1088/1742-6596/1168/3/032128 | 031-514-794-361-281 | Design of Information System Architecture of Garment Enterprises Based on Microservices | The microservices architecture has been favored by system designers and has gradually become the mainstream solution in enterprise-level application architecture design since its introduction. This article aims at the urgent need for information transformation and upgrading faced by the garment industry, and designs a ... | 0 | 0 |
https://openalex.org/w3138896281 | null | null | Migrating microservices to graph database | Microservice architecture is a popular approach to structuring web backend services. Another emerging trend, after a period of hibernation, is utilizing modern graph database management systems for managing complex, richly connected data. The two approaches have rarely been used in tandem, as microservices emphasize mo... | 0 | 0 |
https://openalex.org/w3178064249 | https://doi.org/10.1186/s13677-021-00253-7 | 044-497-449-563-894 | Survey on serverless computing | Serverless computing has gained importance over the last decade as an exciting new field, owing to its large influence in reducing costs, decreasing latency, improving scalability, and eliminating server-side management, to name a few. However, to date there is a lack of in-depth survey that would help developers and r... | 0 | 0 |
https://openalex.org/w2981037154 | https://doi.org/10.1109/ms.2019.2955937 | 045-921-267-171-853 | Developing Self-Adaptive Microservice Systems: Challenges and Directions | A self-adaptive system can dynamically monitor and adapt its behavior to preserve and enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video-surveillance ... | 0 | 0 |
https://openalex.org/w3035535145 | https://doi.org/10.1007/978-3-030-50029-0_11 | 031-862-627-782-872 | Event-Based Customization of Multi-tenant SaaS Using Microservices | Popular enterprise software such as ERP, CRM is now being made available on the Cloud in the multi-tenant Software as a Service (SaaS) model. The added values come from the ability of vendors to enable customer-specific business advantage for every different tenant who uses the same main enterprise software product. So... | 0 | 0 |
https://openalex.org/w2904280278 | null | null | Performance characteristics between monolithic and microservice-based systems | A new promising technology to face the problem of scalability and availability is the microservice architecture. The problem with this architecture is that there is no significant study that clearly proves the performance differences compared to the monolithic architecture. Our thesis aims to provide a more conclusive ... | 0 | 0 |
https://openalex.org/w3107760436 | https://doi.org/10.1007/978-3-030-64148-1_23 | 033-801-044-716-551 | Kuksa$$^{*}$$: Self-adaptive Microservices in Automotive Systems | In pervasive dynamic environments, vehicles connect to other objects to send operational data and receive updates so that vehicular applications can provide services to users on demand. Automotive systems should be self-adaptive, thereby they can make real-time decisions based on changing operating conditions. Emerging... | 0 | 0 |
https://openalex.org/w2783724730 | https://doi.org/10.48550/arxiv.1806.05914 | 179-744-926-064-969 | On Challenges of Cloud Monitoring | Cloud services are becoming increasingly popular: 60\% of information technology spending in 2016 was Cloud-based, and the size of the public Cloud service market will reach \$236B by 2020. To ensure reliable operation of the Cloud services, one must monitor their health. While a number of research challenges in the ar... | 0 | 0 |
https://openalex.org/w3047113427 | null | null | Refactoring Monolithic Application into Cloud-Native Architecture | Cloud Native is an approach, using which, applications are developed and run in such a way as to exploit and use the maximum features of cloud computing. Going cloud native does not just mean deploying your code to the cloud but following some rules and patterns to develop the application from the start. We want to eva... | 0 | 0 |
https://openalex.org/w3094026475 | https://doi.org/10.48550/arxiv.2010.11079 | null | Security Issues and Challenges in Service Meshes -- An Extended Study | Service meshes have emerged as an attractive DevOps solution for collecting, managing, and coordinating microservice deployments. However, current service meshes leave fundamental security mechanisms missing or incomplete. The security burden means service meshes may actually cause additional workload and overhead for ... | 0 | 0 |
https://openalex.org/w2993134863 | https://doi.org/10.1109/icsme.2019.00081 | 013-616-208-592-621 | Microservices Migration in Industry: Intentions, Strategies, and Challenges | To remain competitive in a fast changing environment, many companies started to migrate their legacy applications towards a Microservices architecture. Such extensive migration processes require careful planning and consideration of implications and challenges likewise. In this regard, hands-on experiences from industr... | 0 | 0 |
https://openalex.org/w3033791609 | https://doi.org/10.1007/978-3-030-49435-3_1 | 125-753-541-488-846 | Remodularization Analysis for Microservice Discovery Using Syntactic and Semantic Clustering | This paper addresses the challenge of automated remodularization of large systems as microservices. It focuses on the analysis of enterprise systems, which are widely used in corporate sectors and are notoriously large, monolithic and challenging to manually decouple because they manage asynchronous, user-driven busine... | 1 | 1 |
https://openalex.org/w3126765137 | https://doi.org/10.1109/wetice49692.2020.00017 | 043-660-709-891-116 | Towards an Automatic Identification of Microservices from Business Processes | Microservices have emerged as an alternative solution to many existing technologies allowing to break monolithic applications into “small” fine-grained, highly-cohesive, and loosely-coupled units. However, identifying microservices remains a challenge that could undermine this migration success. This paper proposes an ... | 0 | 1 |
https://openalex.org/w3203376779 | null | null | Threat Simulations of Cloud-Native Telecom Applications | The cloud-native approach has proven very beneficial in developing agile, distributed, and scalable applications. That is why telecom companies have adopted it to build telecom applications and solutions such as the 5G core and other telecom network functions. Following this approach helps speeding up the development p... | 0 | 0 |
https://openalex.org/w3142352928 | https://doi.org/10.3233/aise200053 | null | A Framework for Microservice Migration and Performance Assesment | In a large Smart Grid, smart meters produce tremendous amount of data that are hard to process, analyze and store. Fog computing is an environment that offers a place for collecting, computing and storing smart meter data before transmitting them to the cloud. Due to the distributed, heterogeneous and resource constrai... | 0 | 0 |
https://openalex.org/w2799368073 | null | null | Evaluating the Operational, Performance, and Extensibility Characteristics of SOA, ESB, and Microservices Architectures | SOA represents a newer software architecture that has spawned even newer technologies such as ESB and Microservices. This annotated bibliography examines the operational characteristics of each of these approaches regarding extensibility, performance, scalability, maintainability, and flexibility. It also considers the... | 0 | 0 |
https://openalex.org/w2992728745 | null | null | Investigating differences in response time and error rate between a monolithic and a microservice based architecture | With great advancements in cloud computing, the microservice architecture has become a promising architectural style for enterprise software. It has been proposed to cope with problems of the traditional monolithic architecture which includes slow release cycles, limited scalability and low developer productivity. Ther... | 0 | 0 |
https://openalex.org/w3184147344 | https://doi.org/10.1016/j.jss.2021.111046 | 009-103-991-246-000 | Automated identification of security discussions in microservices systems: Industrial surveys and experiments | Lack of awareness and knowledge of microservices-specific security challenges and solutions often leads to ill-informed security decisions in microservices system development. We claim that identifying and leveraging security discussions scattered in existing microservices systems can partially close this gap. We defin... | 0 | 0 |
https://openalex.org/w2776408119 | null | null | Ensuring Continuous Security in the Cloud and Compliance with GDPR | Scania is currently in the process of migrating from an on-premise infrastructure to a cloud environment. In parallel, General Data Protection Regulation (GDPR) will come into effect in 2018 and the combination of migrating infrastructure and a new regulation resulted in a need for guidance in how to progress. This the... | 0 | 0 |
https://openalex.org/w2929561653 | https://doi.org/10.24251/hicss.2019.762 | 104-517-231-000-503 | Visualizing Interfirm Collaboration in the Microservices Ecosystem | The shift from monolithic software solutions to a microservices architecture is fundamentally changing the way software is developed, deployed, and managed. In this paper, we aim to uncover the collaborative fabric of the microservices ecosystem using a data-driven visualization approach of 2,608 software firms. Our vi... | 0 | 0 |
https://openalex.org/w2911048197 | https://doi.org/10.1016/j.jss.2019.01.001 | 129-687-604-936-814 | Architecting with microservices: A systematic mapping study | Context A microservice architecture is composed of a set of small services, each running in its own process and communicating with lightweight mechanisms. Many aspects on architecting with microservices are still unexplored and existing research is still far from being crispy clear. Objective We aim at identifying, cla... | 0 | 0 |
https://openalex.org/w3184007005 | https://doi.org/10.1145/3468264.3473915 | 061-727-571-315-090 | Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices | In migrating production workloads to cloud, enterprises often face the daunting task of evolving monolithic applications toward a microservice architecture. At IBM, we developed a tool called Mono2Micro to assist with this challenging task. Mono2Micro performs spatio-temporal decomposition, leveraging well-defined busi... | 1 | 1 |
https://openalex.org/w3005347804 | https://doi.org/10.1109/access.2020.2971379 | 009-095-071-129-445 | Optimization of Microservice Composition Based on Artificial Immune Algorithm Considering Fuzziness and User Preference | Microservices is a new paradigm in cloud computing that separates traditional monolithic applications into groups of services. These individual services may correlate or cross multi-clouds. Compared to a monolithic architecture, microservices are faster to develop, easier to deploy, and maintain by leveraging modern co... | 0 | 0 |
https://openalex.org/w3088959564 | https://doi.org/10.1007/978-3-030-58858-8_20 | 040-945-366-646-791 | Improving Agility by Managing Shared Libraries in Microservices | Using microservices is a way of supporting an agile architecture. However, if the microservices development is not properly managed, the teams’ development velocity may be affected, reducing agility and increasing architectural technical debt. This paper investigates how to manage the use of shared libraries in microse... | 0 | 0 |
https://openalex.org/w2903602306 | https://doi.org/10.1088/1742-6596/1126/1/012017 | 037-997-127-871-285 | A development process of enterprise applications with microservices | This paper presents a development process of enterprises applications with microservices. We identify the construction phases, practices, fundamentals, methods and tools that are being used in the development of microservices based enterprise applications. After identifying and proposing the development process, it is ... | 0 | 0 |
https://openalex.org/w2562532367 | null | null | Incremental Integration of Microservices in Cloud Applications. | Microservices have recently appeared as a new architectural style that is native to the cloud. The high availability and agility of the cloud demands organizations to migrate or design microservices, promoting the building of applications as a suite of small and cohesive services (microservices) that are independently ... | 0 | 0 |
https://openalex.org/w2727587229 | https://doi.org/10.1109/ccgrid.2017.28 | 080-341-030-039-975 | Practical Service Placement Approach for Microservices Architecture | Community networks (CNs) have gained momentum in the last few years with the increasing number of spontaneously deployed WiFi hotspots and home networks. These networks, owned and managed by volunteers, offer various services to their members and to the public. To reduce the complexity of service deployment, community ... | 0 | 0 |
https://openalex.org/w3120576338 | null | null | From monolith to microservices | Mikropalveluarkkitehtuurista on viime vuosina tullut yksi suosituimmista ohjelmistokehitykses- sä käytettävistä arkkitehtuurityyleistä. Mikropalveluarkkitehtuuri ei määrittele kokonaan uut- ta, itsenäistä arkkitehtuurityyliä, vaan se määrittelee tietyn tavan toteuttaa palvelukeskeistä arkkitehtuuria. Mikropalveluarkkit... | 0 | 0 |
https://openalex.org/w3132159743 | https://doi.org/10.1016/j.procs.2021.01.198 | 097-785-187-596-467 | Towards Microservice Identification Approaches for Architecting Data Science Workflows | In order to support fast development cycles and deploying software components in productive environments, there are three crucial trends in data science. These are agile process models, development of many technologies and increasing usage of cloud platforms. Therefore, effective architectures are needed to support thi... | 0 | 0 |
https://openalex.org/w3042324018 | https://doi.org/10.1016/j.jss.2020.110748 | 011-708-986-104-140 | ReSIde: Reusable service identification from software families | The clone-and-own approach becomes a common practice to quickly develop Software Product Variants (SPVs) that meet variability in user requirements. However, managing the reuse and maintenance of the cloned codes is a very hard task. Therefore, we aim to analyze SPVs to identify cloned codes and package them using a mo... | 0 | 0 |
https://openalex.org/w4225596747 | https://doi.org/10.2139/ssrn.4061445 | 155-560-420-043-186 | Measuring the Modeling Complexity of Microservice Choreography and Orchestration: The Case of E-Commerce Applications | Objective Comparing the complexity of the two leading composition techniques on small, midsized, and end-to-end e-commerce scenarios, using complexity metrics from the software engineering and business process literature. More specifically, we use the metrics to assess the complexity of BPMN-based models representing t... | 0 | 0 |
https://openalex.org/w3171517761 | https://doi.org/10.35219/eai15840409141 | 010-772-911-509-362 | Cloud Migration and Global Digitalization of Business Models | This paper analyzes and emphasizes the importance of cloud migration of global economic processes and activities. This is based on the digitization of business models as capabilities to increase collaboration with various partners, to generate competitive and cost advantages through vertical integration. All aspects of... | 0 | 0 |
https://openalex.org/w2942979315 | https://doi.org/10.1016/j.icte.2019.04.001 | 106-509-829-292-400 | stream-MSA: A microservices’ methodology for the creation of short, fast-paced, stream processing pipelines | Broad deployment of IoT solutions has resulted in the emergence of a large number of applications that generate value from processing the resulting high-frequency data streams. To meet the temporal requirements of those arbitrary simple applications, practitioners commonly employ monolithic approaches. However, the nee... | 0 | 0 |
https://openalex.org/w3097574021 | https://doi.org/10.1109/icsme46990.2020.00060 | 161-860-122-871-647 | On the Performance and Adoption of Search-Based Microservice Identification with toMicroservices | The expensive maintenance of legacy systems leads companies to migrate such systems to microservice architectures. This migration requires the identification of system’s legacy parts to become microservices. However, the successful identification of microservices, which are promising to be adoptable in practice, requir... | 0 | 0 |
https://openalex.org/w2968843250 | https://doi.org/10.5220/0007837000270039 | 049-326-377-112-60X | Designing Software Architecture to Support Continuous Delivery and DevOps: A Systematic Literature Review | This paper presents a systematic literature review of software architecture approaches that support the implementation of Continuous Delivery (CD) and DevOps. Its goal is to provide an understanding of the state-of-the-art on the topic, which is informative for both researchers and practitioners. We found 17 characteri... | 0 | 0 |
https://openalex.org/w2860108837 | https://doi.org/10.1016/j.promfg.2018.06.013 | 176-963-700-913-682 | Configuration based process and knowledge management by structuring the software landscape of global operating industrial enterprises with Microservices | An increasing amount of enterprises is currently facing the topic “knowledge and process management” to be more efficient and to be able to introduce concepts of Industry 4.0. The challenge for these companies, which are mostly not Original Equipment Manufacturers (OEM), but medium to large component suppliers, is that... | 0 | 0 |
https://openalex.org/w2945774639 | https://doi.org/10.5220/0007618400370047 | 039-046-423-205-868 | Towards a Roadmap for the Migration of Legacy Software Systems to a Microservice based Architecture | The migration of legacy software systems to a microservice based architecture is not a trivial task due to challenges and difficulties as reported in the literature. The concept of microservices mainly consists in software organized as a suite of small, modular, and independently deployed services that run on their own... | 0 | 1 |
https://openalex.org/w3035833135 | https://doi.org/10.5120/ijca2020920302 | 001-787-187-808-331 | A Decoupled Health Software Architecture using Microservices and OpenEHR Archetypes | Coupling is a challenge in software engineering, because errors or failures compromise the whole software execution. To address this issue in the healthcare domain, a Decoupled Health Software Architecture (DHSA) is proposed in this paper. This study presents the development of three components, a tool, and a formal me... | 0 | 0 |
https://openalex.org/w2902948591 | https://doi.org/10.1088/1742-6596/1142/1/012017 | null | Secure Architecture for Virtual Machine to Container Migration in Cloud Computing | Cloud Computing is extension of virtualization concepts which can be included 'As a Service'. It has extensive resource scaling and automation capability to integrate everything together in holistic view. In recent days, Cloud Computing has multiple enhancements and it is maturing with more flexibility but still securi... | 0 | 0 |
https://openalex.org/w3156093967 | https://doi.org/10.1007/978-3-030-73203-5_4 | 057-754-222-584-62X | On the Migration to and Synthesis of (Micro-)services: The Use of Intelligent Techniques | This chapter investigates the use of Computational Intelligence (CI) to tackle two challenges in the area of services. The first is involved with providing efficient decision support for migrating from monolithic to service-oriented software, while the latter addresses automatic service composition, which is a special ... | 0 | 1 |
https://openalex.org/w2731755941 | null | null | Micro service Testing Practices in Public Sector Software Projects | Online services are constantly evolving, which makes service maintainability challenging. This has led to micro service architecture, where big applications are split into smaller services in order to improve applications' maintainability, scalability, and flexibility. However, splitting a single process application in... | 0 | 0 |
https://openalex.org/w2935968709 | https://doi.org/10.14288/1.0378158 | null | Investigating practices and challenges in microservice-based development | Microservice-based architecture is a principle inspired by service-oriented approaches for building complex systems as a composition of small, loosely coupled components that communicate with each other using language-agnostic APIs. This architectural principle is now becoming increasingly popular in industry due to it... | 0 | 0 |
https://openalex.org/w3130558175 | https://doi.org/10.1016/j.procs.2021.01.210 | 056-804-063-384-247 | Creating a sustainable digital infrastructure: The role of service-oriented architecture | The United Nations’ goal of generating sustainable industry, innovation, and infrastructure is the point of departure for our reflective paper. The paper elaborates on the concepts of digital infrastructure, service-oriented architecture, and microservices. It emphasizes the benefits and challenges of creating a sustai... | 0 | 0 |
https://openalex.org/w2791882027 | https://doi.org/10.1016/j.infsof.2018.02.010 | 056-849-151-863-589 | We’re doing it live: A multi-method empirical study on continuous experimentation | Context Continuous experimentation guides development activities based on data collected on a subset of online users on a new experimental version of the software. It includes practices such as canary releases, gradual rollouts, dark launches, or A/B testing. Objective Unfortunately, our knowledge of continuous experim... | 0 | 0 |
https://openalex.org/w3116136571 | https://doi.org/10.1109/ms.2020.3028708 | 090-401-543-121-24X | Serverless Computing-Where Are We Now, and Where Are We Heading? | Serverless systems are becoming more popular and being adopted by a large number of companies. Serverless computing is a new paradigm that provides a platform to efficiently develop and deploy applications to the market without having to manage any underlying infrastructure.1,2 However, serverless solutions introduce s... | 0 | 0 |
https://openalex.org/w2945383403 | https://doi.org/10.1145/3308560.3316509 | 052-082-135-229-637 | MAMS: Multi-Agent MicroServices✱ | This paper explores the intersection between microservices and Multi-Agent Systems (MAS), introducing the notion of a new approach to building MAS known as Multi-Agent MicroServices (MAMS). Our approach is illustrated through a worked example of a Vickrey Auction implemented as a microservice. | 0 | 0 |
https://openalex.org/w2617775823 | https://doi.org/10.1007/978-3-319-58943-5_23 | 008-791-503-452-936 | Towards a Methodology to Form Microservices from Monolithic Ones | Cloud computing is the cornerstone for elastic and on-demand service provisioning to achieve more efficient resource utilisation and quicker responses to varying application loads. Virtual machines, one of the building blocks of clouds, can be created using provider specific templates stored in proprietary repositories... | 0 | 1 |
https://openalex.org/w3039125946 | https://doi.org/10.1016/j.infsof.2021.106571 | 019-006-722-011-607 | Motivations, benefits, and issues for adopting Micro-Frontends: A Multivocal Literature Review | Context: Micro-Frontends are increasing in popularity, being adopted by several large companies, such as DAZN, Ikea, Starbucks and may others. Micro-Frontends enable splitting of monolithic frontends into independent and smaller micro applications. However, many companies are still hesitant to adopt Micro-Frontends, du... | 0 | 0 |
https://openalex.org/w2942257648 | null | null | Analysis of requirements and technologies to migrate software development to the PaaS model | Software development has been evolving during the last years and, more and more, the software architecture to support this development has become more complex to meet the new requirements and new technologies. With the new cloud computing architecture and models, IT departments and ISV are developing new applications a... | 0 | 0 |
https://openalex.org/w2907741807 | null | null | The Feasibility of Function as a Service to Improve Backend | Since cloud computing emerged, business paradigm was changed more dynamically, thus application architecture was required to have a capability to be interact with new requirements as fast as possible. Therefore, Microservices has been the trend of application architecture due to its flexibility. However, some of issues... | 0 | 0 |
https://openalex.org/w3113243862 | https://doi.org/10.1145/3378064 | 057-079-747-288-181 | How to transition incrementally to microservice architecture | A field study examines technological advances that have created versatile software ecosystems to develop and deploy microservices. | 0 | 0 |
https://openalex.org/w3011632910 | https://doi.org/10.1088/1755-1315/440/3/032147 | 071-520-752-802-343 | Research on Micro Service Architecture of Power Information System Based on Docker Container | With the development of energy internet, the complexity of power information system is increasing day by day, and the ecosphere of cooperation and sharing among different industries is gradually formed. Based on Docker container technology and Kubernetes container layout technology, this paper studies the design princi... | 0 | 0 |
https://openalex.org/w3146033885 | https://doi.org/10.1088/1757-899x/1098/3/032083 | 049-053-412-407-438 | Microservice architecture design for autograder using distributed architecture | An autograder is a system for grading student code submission so the lecturer and student can get the result immediately after code has been submitted. This system using distributed architecture which uses multiple backends as a grader in purpose to reduce execution time caused by the queue. This system needs some comp... | 0 | 0 |
https://openalex.org/w2612182071 | https://doi.org/10.12783/dtetr/icca2016/6039 | 032-572-264-455-071 | Microservices Architecture for Tenant-oriented Cloud-based Control Software Services: POC and Proposals | Microservices architecture, where application is composed of a set of independently deployable services is a popular modern approach for building enterprise-level applications, meanwhile most of the cloud solutions for control software (including IoT) are designed in so called monolithic way. LXC-based (docker) microse... | 0 | 0 |
https://openalex.org/w2884265764 | https://doi.org/10.1007/978-981-13-1056-0_53 | 096-812-276-323-676 | An Approach to Modeling Microservice Solutions | Modeling occupies an important place in microservice solutions. However, as far as approaches covering whole development cycle are concerned, either their modeling languages are too simple, or modeling processes are incomplete. This paper presents an approach to modeling microservice solutions based on CBDI SAE metamod... | 0 | 0 |
https://openalex.org/w3174976108 | https://doi.org/10.1088/1742-6596/1898/1/012010 | 114-620-562-911-932 | Designing Online Healthcare Using DDD in Microservices Architecture | Today, the system development had been transformed to service-oriented architecture. It more specific in microservices architecture to responds the agility and flexibility in software maintenance. This transformation is an important part that promoting independence, speed and security, while still kept balanced with th... | 0 | 0 |
https://openalex.org/w2998718112 | null | null | Microservices in Software Development | The purpose of this thesis was to examine microservice-based architecture and compare it to the traditional monolithic approach. The thesis project was conducted in a case company, where a new welfare application is under development. It is implemented with microservices and will eventually replace a preceding, monolit... | 0 | 0 |
https://openalex.org/w2801207044 | https://doi.org/10.1109/icsa.2018.00012 | 055-584-612-707-398 | Migrating Towards Microservice Architectures: An Industrial Survey | Microservices are gaining tremendous traction in industry and a growing scientific interest in academia. More and more companies are adopting this architectural style for modernizing their products and taking advantage of its promised benefits (e.g., agility, scalability). Unfortunately, the process of moving towards a... | 0 | 0 |
https://openalex.org/w2519996271 | https://doi.org/10.1109/hpcsim.2016.7568389 | 016-942-060-081-341 | The ENTICE approach to decompose monolithic services into microservices | Cloud computing has enabled elastic and on-demand service provisioning to achieve more efficient resource utilisation and quicker responses to varying application loads. Virtual machines, the building blocks of clouds, can be created using provider specific templates stored in proprietary repositories, which may lead t... | 0 | 1 |
https://openalex.org/w3180530255 | https://doi.org/10.1109/mcom.001.2000922 | 014-791-876-308-598 | Autonomous Network Slicing Prototype Using Machine-Learning-Based Forecasting for Radio Resources | With the emergence of virtualization and software automation for mobile networks, network slicing is enabling operators to dynamically provision network resources tuned to suit heterogeneous service requirements. This article investigates the architectures of the fifth generation (5G) of mobile networks experimental pr... | 0 | 0 |
https://openalex.org/w2992108352 | https://doi.org/10.1109/icsme.2019.00089 | 012-452-349-199-757 | Assuring the Evolvability of Microservices: Insights into Industry Practices and Challenges | While Microservices promise several beneficial characteristics for sustainable long-term software evolution, little empirical research covers what concrete activities industry applies for the evolvability assurance of Microservices and how technical debt is handled in such systems. Since insights into the current state... | 0 | 0 |
https://openalex.org/w3172186919 | https://doi.org/10.13052/jwe1540-9589.20312 | 021-447-185-360-857 | A Prescriptive Model for Migration to Microservices Based on SDLC Artifacts | Microservices architectural style is gaining popularity in industry and is being widely adopted by large corporations like Amazon, Netflix, Spotify, eBay, and many more. Several other organizations are also preferring to migrate their existing enterprise scale applications to microservices architecture. Researchers hav... | 0 | 1 |
https://openalex.org/w2890430889 | https://doi.org/10.20944/preprints201807.0276.v1 | 046-496-016-556-064 | A Brief History of Cloud Application Architectures: From Deployment Monoliths via Microservices to Serverless Architectures and Possible Roads Ahead | This paper presents a review of cloud application architectures and its evolution. It reports observations being made during the course of a research project that tackled the problem to transfer cloud applications between different cloud infrastructures. As a side effect we learned a lot about commonalities and differe... | 0 | 0 |
https://openalex.org/w2625901035 | null | null | An analysis of microservice frameworks | Microservice architecture has entered the industry to solve some of the problems with the monolithic architecture. However, this architecture comes with its own set of problems. In order to solve the microservice architecture problems while also providing additional functionalities, microservice frameworks have been de... | 0 | 0 |
https://openalex.org/w2594689159 | https://doi.org/10.48550/arxiv.1702.05510 | 199-258-645-093-79X | Java Code Analysis and Transformation into AWS Lambda Functions | Software developers are faced with the issue of either adapting their programming model to the execution model (e.g. cloud platforms) or finding appropriate tools to adapt the model and code automatically. A recent execution model which would benefit from automated enablement is Function-as-a-Service. Automating this p... | 0 | 0 |
https://openalex.org/w2787745346 | https://doi.org/10.5281/zenodo.1315705 | 057-922-831-317-666 | A Design For Application Of Mobile Agent Technology To Microservice Architecture | A monolithic service is based on the N-tier architecture in many cases. In order to divide a monolithic service into microservices, it is necessary to redefine a model as a new microservice by extracting and merging existing models across layers. Refactoring a monolithic service into microservices requires advanced tec... | 0 | 0 |
https://openalex.org/w2892258624 | https://doi.org/10.3390/s18092938 | 052-012-638-138-004 | A Capillary Computing Architecture for Dynamic Internet of Things: Orchestration of Microservices from Edge Devices to Fog and Cloud Providers | The adoption of advanced Internet of Things (IoT) technologies has impressively improved in recent years by placing such services at the extreme Edge of the network. There are, however, specific Quality of Service (QoS) trade-offs that must be considered, particularly in situations when workloads vary over time or when... | 0 | 0 |
https://openalex.org/w2531091143 | https://doi.org/10.1002/spe.2442 | 027-076-802-794-879 | Pattern‐based multi‐cloud architecture migration | Many organizations migrate on-premise software applications to the cloud. However, current coarse-grained cloud migration solutions have made such migrations a non transparent task, an endeavor based on trial-and-error. This paper presents Variability-based, Pattern-driven Architecture Migration (V-PAM), a migration me... | 0 | 1 |
https://openalex.org/w3136328017 | https://doi.org/10.1109/mcom.001.2000578 | 032-416-824-374-380 | An Open Source Testbed for Virtualized Communication Networks | Communication networks and the systems they interconnect are going through a phase of tremendous change. The former agnostic delivery of content between endpoints has given way to networks increasingly adding functionality beyond moving data. Softwarization technologies including network function virtualization (NFV) a... | 0 | 0 |
https://openalex.org/w3012140247 | https://doi.org/10.1088/1742-6596/1450/1/012077 | 092-063-078-194-147 | Designing microservice architectures for scalability and reliability in e-commerce | The rapid growth of ICT is one of the challenges and opportunities in the field of purchasing, selling, and marketing goods and services are better known in the world of ICT as e-commerce. The need for e-commerce requires various strategies to increase revenue and customer satisfaction. E-commerce companies are require... | 0 | 0 |
https://openalex.org/w3167836202 | https://doi.org/10.48550/arxiv.2106.07321 | null | No Free Lunch: Microservice Practices Reconsidered in Industry | Microservice architecture advocates a number of technologies and practices such as lightweight container, container orchestration, and DevOps, with the promised benefits of faster delivery, improved scalability, and greater autonomy. However, microservice systems implemented in industry vary a lot in terms of adopted p... | 0 | 0 |
https://openalex.org/w2994796813 | https://doi.org/10.26153/tsw/5642 | null | QoS and efficiency for FaaS platforms | Serverless computing or function-as-a-service (FaaS) provides a way to write applications composed of scalable and manageable independent tasks communicating seamlessly without developer involvement. Strict performance guarantees or service-level agreements (SLAs) provided by cloud vendors demand predictable performanc... | 0 | 0 |
https://openalex.org/w3171947203 | https://doi.org/10.48550/arxiv.2105.14935 | null | Microservice Maturity of Organizations: towards an assessment framework | This early work aims to allow organizations to diagnose their capacity to properly adopt microservices through initial milestones of a Microservice Maturity Model (MiMMo). The objective is to prepare the way towards a general framework to help companies and industries to determine their microservices maturity. Organiza... | 0 | 0 |
https://openalex.org/w3217753634 | https://doi.org/10.7939/r3-0172-gk93 | null | Improving the Performance and Availability of Microservice-Based Cloud Applications | With the advent of cloud computing, many organizations are moving their software systems to cloud environments. This migration from on-premises to cloud infrastructure has led to the emergence of cloud applications. One of the essential concepts around cloud applications and cloud services is Quality of Service (QoS). ... | 0 | 0 |
https://openalex.org/w2887739100 | https://doi.org/10.1016/j.jss.2018.12.013 | 060-917-354-778-276 | A mixed-method empirical study of Function-as-a-Service software development in industrial practice | Function-as-a-Service (FaaS) describes cloud computing services that make infrastructure components transparent to application developers, thus falling in the larger group of “serverless” computing mod- els. When using FaaS offerings, such as AWS Lambda, developers provide atomic and short-running code for their functi... | 0 | 0 |
https://openalex.org/w2883864007 | https://doi.org/10.1109/icsa.2018.00014 | 100-683-615-435-918 | Towards Micro Service Architecture Recovery: An Empirical Study | Micro service architectures are rapidly establishing themselves in the software industry as a more efficient and effective substitute for monolithic applications. In a micro service architecture, the application is broken down into many small elements called micro services. These are managed in a distributed way and ty... | 0 | 0 |
https://openalex.org/w2899095103 | https://doi.org/10.17706/jcp.13.10.1192-1201 | 000-367-757-418-742 | A Design with Mobile Agent Architecture for Refactoring A Monolithic Service into Microservices | Refactoring monolithic architecture into microservice architecture is a difficult task. In many cases, a monolithic service is divided into N-tiers based on the N-tier architecture. In order to divide a monolithic service into microservices, it is necessary to redefine a model as a new microservice by extracting models... | 0 | 0 |
https://openalex.org/w3004139508 | https://doi.org/10.5753/sbbd.2019.8814 | 121-004-766-050-630 | Towards a Technique for Extracting Relational Actors from Monolithic Applications | Relational actors, or reactors for short, integrate the actor model with the relational data model, providing an abstraction for enabling actor-relational database systems. However, as a novel model of computation for databases, there is no extensive work on reasoning about reactor modeling. To close this gap, this pap... | 0 | 0 |
https://openalex.org/w2949702396 | https://doi.org/10.1007/978-3-319-70578-1_10 | 039-579-317-206-287 | Domain Objects and Microservices for Systems Development: A Roadmap | This paper discusses a roadmap to investigate Domain Objects being an adequate formalism to capture the peculiarity of microservice architecture, and to support Software development since the early stages. It provides a survey of both Microservices and Domain Objects, and it discusses plans and reflections on how to in... | 0 | 0 |
https://openalex.org/w2604298291 | https://doi.org/10.48550/arxiv.1703.07562 | null | Snafu: Function-as-a-Service (FaaS) Runtime Design and Implementation | Snafu, or Snake Functions, is a modular system to host, execute and manage language-level functions offered as stateless (micro-)services to diverse external triggers. The system interfaces resemble those of commercial FaaS providers but its implementation provides distinct features which make it overall useful to rese... | 0 | 0 |
https://openalex.org/w3155504251 | null | null | Integrasi Data Pada Learning Management System Canvas Menggunakan Microservice | Monolithic Architecture is an architecture that represents an application created and wrapped in one section. The main problem in using monolithic architecture once the system is big lies in the factors of maintenance, scalability, and availability. This research aims to apply microservice architecture with pattern API... | 0 | 0 |
https://openalex.org/w2923436068 | https://doi.org/10.1186/s13174-019-0104-0 | 030-376-742-012-865 | Improving microservice-based applications with runtime placement adaptation | Microservices are a popular method to design scalable cloud-based applications. Microservice-based applications (μApps) rely on message passing for communication and to decouple each microservice, allowing the logic in each service to scale independently. Complex μApps can contain hundreds of microservices, complicatin... | 0 | 0 |
https://openalex.org/w2602880546 | https://doi.org/10.1002/ett.3169 | 054-025-144-555-284 | Providing ultra‐short latency to user‐centric 5G applications at the mobile network edge | Mobile Edge Computing (MEC) will play a key role in next-generation mobile networks to extend the range of supported delay-sensitive applications. Furthermore, an increasing attention is paid to provide user-centric services, to better address the strict requirements of novel immersive applications. In this scenario, M... | 0 | 0 |
https://openalex.org/w2973063665 | https://doi.org/10.26438/ijcse/v7i4.803809 | null | Microservices and Its Applications An Overview | International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foo... | 0 | 0 |
https://openalex.org/w2799242029 | https://doi.org/10.1109/ic2e.2018.00053 | 010-347-477-285-003 | Architecture for Analysis of Streaming Data | While several attempts have been made to construct a scalable and flexible architecture for analysis of streaming data, no general model to tackle this task exists. Thus, our goal is to build a scalable and maintainable architecture for performing analytics on streaming data. To reach this goal, we introduce a 7-layere... | 0 | 0 |
https://openalex.org/w2972755603 | https://doi.org/10.1145/3368235.3368847 | 025-488-572-073-002 | Performance Estimation of Container-Based Cloud-to-Fog Offloading | Fog computing offloads latency critical services of a Cloud application onto resources located at the edge of the network that are in close proximity to end-user devices. The research in this paper is motivated towards characterising and estimating the time taken to offload a service using containers, which is investig... | 0 | 0 |
https://openalex.org/w2605394946 | https://doi.org/10.1007/978-3-319-52593-8_4 | 145-923-387-358-123 | Automation of the Incremental Integration of Microservices Architectures | Microservices have appeared as a new architectural style that is native to the cloud. The high availability and agility of the cloud demands organizations to migrate or design microservices, promoting the building of applications as a suite of small and cohesive services that are independently developed, deployed and s... | 0 | 0 |
https://openalex.org/w2909870733 | https://doi.org/10.1109/lnet.2019.2918155 | 014-704-057-094-903 | Externalization of Packet Processing in Software Defined Networking | Current software defined networking (SDN) controllers aggregate all control plane subsystems into a monolithic program. A controller that follows the aggregated approach defines its own set of programming interfaces and services, making application development dependent on a particular SDN controller, and restricting p... | 0 | 0 |
https://openalex.org/w3116068503 | https://doi.org/10.1016/j.jss.2021.110924 | 053-852-787-231-577 | A Kubernetes controller for managing the availability of elastic microservice based stateful applications | The architectural style of microservices has been gaining popularity in recent years. In this architectural style, small and loosely coupled modules are deployed and scaled independently to compose cloud-native applications. Carrier-grade service providers are migrating their legacy applications to a microservice based... | 0 | 0 |
https://openalex.org/w2794571456 | https://doi.org/10.5220/0006791607190726 | null | Microservices for Redevelopment of Enterprise Information Systems and Business Processes Optimization | Due to cost pressure and static technological development, the lifecycle of large enterprise information systems in operation is coming to an end. At the same time and as part of possible solutions, the demands for cloud systems in the enterprise context is continuously growing. Although microservices have become an es... | 0 | 0 |
https://openalex.org/w2983726051 | https://doi.org/10.1109/access.2019.2950507 | 061-458-859-607-380 | A Feature-Based Framework for Structuring Industrial Digital Twins | Digital twin is a virtual entity that is linked to a real-world entity. Both the link and the virtual representation can be realized in several different ways. However, the ambiguous meanings associated with the term digital twin are causing unnecessary miscommunications as people have different interpretations of what... | 0 | 0 |
https://openalex.org/w2994867606 | https://doi.org/10.1109/access.2019.2960516 | 048-600-304-485-096 | Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making | The impressive evolution of the Internet of Things and the great amount of data flowing through the systems provide us with an inspiring scenario for Big Data analytics and advantageous real-time context-aware predictions and smart decision-making. However, this requires a scalable system for constant streaming process... | 0 | 0 |
https://openalex.org/w2947547390 | https://doi.org/10.5220/0007732101340146 | 156-326-542-004-346 | Migration of Software Components to Microservices: Matching and Synthesis | Nowadays more and more software companies, as well as individual software developers, adopt the microservice architecture for their software solutions. Although many software systems are being designed and developed from scratch, a significant number of existing monolithic solutions tend to be transformed to this new a... | 1 | 1 |
https://openalex.org/w2560468917 | https://doi.org/10.1007/978-1-4842-1937-9 | null | Microservices From Day One | Learn what a microservices architecture is, its advantages, and why you should consider using one when starting a new application. The book describes how taking a microservices approach from the start helps avoid the complexity and expense of moving to a service-oriented approach after applications reach a critical cod... | 0 | 0 |
https://openalex.org/w3164208109 | https://doi.org/10.1016/j.ifacol.2021.04.137 | 020-261-621-622-365 | Design and Implement of Microservice System for Edge Computing | In the Internet of Things (IoT) scenario, the hardware resources in the edge computing paradigm are limited, so the applications in the cloud computing paradigm are not suitable for edge computing. New system architecture and key technologies are needed for application implement and deployment in edge computing. Based ... | 0 | 0 |
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