PATENT CLAIM ANALYSIS

Application Number: 15957962
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["717", "137000"]

Abstract:
Embodiments of the present invention disclose a method, a computer program product, and a computer system for mapping components of non-distributed environments to distributed environments. A computer receives a data pipeline configured for a non-distributed environment and identifies one or more bottleneck components of the data pipeline. In addition, the computer converts data used in the pipeline to a format compatible with a distributed environment and installs the necessary computing libraries necessary for operating the pipeline within the distributed environment. The computer further converts the code of the pipeline to a code that is compatible with the distributed environment and optimizes components of the pipeline for use in the distributed environment.

Claim (Index 2):
The method of  claim 1 , further comprising:\n the computer measuring a performance of the at least one bottleneck component when implemented within the distributed computing environment; and wherein identifying the at least one bottleneck component of one or more components comprising the data pipeline is further based on the measured performance of the at least one bottleneck.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.18519
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13044048', '14271572', '15802516', '13095792', '15348572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3674085684536157
- 35 USC 102 Novelty (BERT): 0.4831644165451693
- Combined Prediction Score: 0.3789841532627711
- Mean Citation Score: 161.586028
- Max Citation Score: 177.33746000000005
- Similarity Product: 135.8656570345688

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test