PATENT CLAIM ANALYSIS

Application Number: 15917192
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["712", "220000"]

Abstract:
A method and apparatus for staged execution pipelining and allocating resource to staged execution pipelines are provided. One or more execution pipelines are established, where each of the one or more execution pipelines includes one or more execution stages. Data is provided to the one or more execution pipelines for processing and resources are allocated to the execution pipeline.

Claim (Index 13):
One or more non-transitory computer-readable storage media having collectively stored thereon instructions that, if executed by one or more processors of a computer system, cause the computer system to:\n queue a data processing request having a processing type for data associated with the data processing request; allocate, based on the processing type and information associated with a configuration of a computing resource, an execution pipeline associated with the computing resource, the execution pipeline comprising a subset of the computing resource capable of executing operations associated with the processing type; execute the data processing request on the data using the execution pipeline; and monitor execution of the data processing request in the execution pipeline.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.90909
- Patent Class: 712.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15161117', '14017203', '15679087', '13620251', '15460085']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5370438069876634
- 35 USC 102 Novelty (BERT): 0.4831369432296628
- Combined Prediction Score: 0.5316531206118633
- Mean Citation Score: 165.555698
- Max Citation Score: 225.76132
- Similarity Product: 178.2688252053571

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

Dataset: test