PATENT CLAIM ANALYSIS

Application Number: 16004683
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["709", "226000"]

Abstract:
Exemplary techniques for analytics-driven hybrid concurrency control in clouds are disclosed that include a hybrid resource allocation module that can concurrently utilize an optimistic allocation scheme alongside a pessimistic allocation scheme. Machine learning techniques utilizing previous activity history of applications can be used to train a cluster model that is integrated by a hybrid resource allocation module to classify applications in either a pessimistic cluster or an optimistic cluster that identifies under which scheme requests from the applications will be processed.

Claim (Index 8):
The method of  claim 6 , further comprising:\n updating the machine learning model, resulting in at least one of the plurality of applications that was previously categorized into the pessimistic cluster to now be categorized into the optimistic cluster.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 94.0
- Lexical Diversity: 1.53704
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14949703', '14667374', '09106166', '15454470', '10708262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2316045860238599
- 35 USC 102 Novelty (BERT): 0.591981677692175
- Combined Prediction Score: 0.2676422951906915
- Mean Citation Score: 276.577038
- Max Citation Score: 537.193
- Similarity Product: 426.1648942186832

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

Dataset: test