PATENT CLAIM ANALYSIS

Application Number: 15751836
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["709", "226000"]

Abstract:
In various embodiments, methods and systems for optimizing allocation of multi-priority service instances are provided. In embodiments, a packing quality metric associated with each candidate node to which a service instance could be allocated are determined. An eviction cost associated with at least a portion of the candidate nodes to which the service instance could be allocated are determined. The eviction costs generally indicate a cost to evict a service instance from a corresponding node such that another service instance can be allocated to that node. At least a portion of the packing quality metrics and the eviction costs are used to select a node from the candidate nodes to which to allocate the service instance.

Claim (Index 14):
One or more computer storage media having computer-executable instructions embodied thereon that, when executed, by one or more processors, causes the one or more processors to perform a method for optimizing allocation of multi-priority service instances, the method comprising: identifying a packing quality metric associated with each candidate node to which a service instance could be allocated; identifying a survival metric associated with at least a portion of the candidate nodes to which the service instance could be allocated, each of the survival metrics indicating an extent that the service instance will not be evicted or will survive if deployed to the corresponding node; and utilizing at least a portion of the packing quality metrics and the survival metrics to select a node from the candidate nodes to which to allocate the service instance.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 88.0
- Lexical Diversity: 2.15789
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15872775', '14699673', '14852233', '13790763', '14702080']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2508014733837554
- 35 USC 102 Novelty (BERT): 0.4730727912715891
- Combined Prediction Score: 0.2730286051725388
- Mean Citation Score: 154.68352
- Max Citation Score: 160.49046
- Similarity Product: 111.99011552327156

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

Dataset: test