PATENT CLAIM ANALYSIS

Application Number: 15915618
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["714", "006300"]

Abstract:
Technologies for cluster systems that are natively geo-site-aware. Such a cluster system makes use of this awareness to determine the subsets of nodes located at various geo-sites at physical configuration, to optimize workload placement based on the geo-sites, to make failover and failback decisions based on the geo-sites, and to assign voting and prune nodes for quorum management based on the geo-sites. Such capabilities result in cluster systems that are more resilient and more efficient in terms of resource usage than cluster systems without such native geo-site awareness.

Claim (Index 28):
A method for a cluster system comprising two or more cluster nodes, the method comprising:\n determining, based on directory information associated with the cluster system, a first subset of two or more cluster nodes associated with a first directory site; determining a second subset of the two or more cluster nodes based on respective subnets of the two or more cluster nodes; determining a third subset of the two or more cluster nodes based on latencies between two or more pairs of the two or more cluster nodes; and determining a first proposed geo-site grouping of cluster nodes based on the first subset, the second subset and the third subset.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.62069
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14968888', '10858150', '12506420', '14848318', '15382340']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2625114660055393
- 35 USC 102 Novelty (BERT): 0.5342948433728245
- Combined Prediction Score: 0.2896898037422678
- Mean Citation Score: 158.52497599999995
- Max Citation Score: 294.66855
- Similarity Product: 177.5218950633913

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