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 20):
The system of  claim 19 , wherein the instructions, when executed by the another one or more computing devices, further cause the hybrid resource allocation module to:\n when the requesting application is in the pessimistic cluster and the lock is set, wait to provide the available resource information to the requesting application at least until the lock is no longer set; and when the requesting application is in the pessimistic cluster and the lock is not set, provide the available resource information to the requesting application and set the lock to prevent all other applications categorized into the pessimistic cluster and all of the applications categorized into the optimistic cluster from being able to obtain available resource information while the lock remains 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): 0.2578931142272154
- 35 USC 102 Novelty (BERT): 0.5800325486496487
- Combined Prediction Score: 0.2901070576694587
- Mean Citation Score: 276.577038
- Max Citation Score: 537.193
- Similarity Product: 365.035154297173

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