PATENT CLAIM ANALYSIS

Application Number: 15896363
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["709", "224000"]

Abstract:
Methods and systems for a networked storage system are provided. One method includes filtering performance data associated with a resource used in a networked storage environment for reading and writing data at a storage device; and determining available performance capacity of the resource using the filtered performance data. The available performance capacity is based on optimum utilization of the resource and actual utilization of the resource, where utilization of the resource is an indicator of an extent the resource is being used at any given time, the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency and latency is an indicator of delay at the resource in processing the workload.

Claim (Index 20):
The system of  claim 15 , wherein the machine executable code, further causes to: track latency at a node based on an operation type, idle time of a processor of the node, and inter-arrival times and service times for different workloads processed by the plurality of resources; wherein the model based technique uses inter-arrival time and service time for generating a relationship between latency and utilization.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.06452
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14805804', '14805829', '14805770', '14805851', '14994009']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3884460499128191
- 35 USC 102 Novelty (BERT): 0.5542709350761921
- Combined Prediction Score: 0.4050285384291564
- Mean Citation Score: 398.164146
- Max Citation Score: 434.31442
- Similarity Product: 370.8823432622027

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

Dataset: test