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 13):
The non-transitory computer-readable storage medium of  claim 10 , wherein the operations further comprise:\n receiving a third request for available resource information from a third application of the plurality of applications while the lock is set; determining that the third application has been categorized into the pessimistic cluster; and waiting to provide the available resource information to the third application at least until the lock is no longer set.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 94.0
- Lexical Diversity: 1.53704
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14949703', '14667374', '09106166', '15454470', '10708262']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2585415655105471
- 35 USC 102 Novelty (BERT): 0.5779750207312045
- Combined Prediction Score: 0.2904849110326128
- Mean Citation Score: 276.577038
- Max Citation Score: 537.193
- Similarity Product: 356.207045175314

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