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 5):
The method of  claim 1 , wherein identifying the at least one bottleneck component further comprises:\n the computer generating a model for operating the data pipeline having one or more parameters and one or more constraints, wherein the one or more parameters include memory usage and time; the computer determining a lowest memory usage and shortest time based on the model; and the computer identifying at least one component of the one or more components that fails to perform at the lowest memory usage or the shortest time.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.18519
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13044048', '14271572', '15802516', '13095792', '15348572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3927107231316515
- 35 USC 102 Novelty (BERT): 0.496498681606862
- Combined Prediction Score: 0.4030895189791726
- Mean Citation Score: 161.586028
- Max Citation Score: 177.33746000000005
- Similarity Product: 122.91108823711636

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