PATENT CLAIM ANALYSIS

Application Number: 16195697
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["711", "113000"]

Abstract:
In an embodiment of the invention, a method comprises: recording application-level heuristics and IO-level (input/output-level) heuristics; correlating and analyzing the application-level heuristics and IO-level heuristics; and based on an analysis and correlation of the application-level heuristics and IO-level heuristics, generating a policy for achieving optimal application performance. In another embodiment of the invention, an apparatus comprises: a system configured to record application-level heuristics and IO-level heuristics, to correlate and analyze the application-level heuristics and IO-level heuristics, and based on an analysis and correlation of the application-level heuristics and IO-level heuristics, to generate a policy for achieving optimal application performance.

Claim (Index 1):
A method, comprising:\n recording application-level heuristics; recording IO-level (input/output-level) heuristics in IO requests; correlating the recorded IO-level heuristics with the recorded application-level heuristics; generating a caching policy based on the correlation of recorded IO-level heuristics with the recorded application-level heuristics; selecting cache settings based caching policy; and configuring a cache unit based on the selected cache settings.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 2.62791
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14660546', '12415595', '14303418', '15086644', '14788079']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4878220114308624
- 35 USC 102 Novelty (BERT): 0.4647381049882623
- Combined Prediction Score: 0.4855136207866024
- Mean Citation Score: 99.202736
- Max Citation Score: 154.27881000000005
- Similarity Product: 119.80887822343472

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