PATENT CLAIM ANALYSIS

Application Number: 15965721
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["711", "122000"]

Abstract:
A method and apparatus for using cache size estimations for guiding hot-tier insertion decisions. The method and apparatus include an adaptive management element that determines what accesses of a resource should be logged and the parameters for logging. The determinations are used to configure an adaptive logging element to log only accesses corresponding to the selected resource(s) and to log only those accesses that match the identified parameters. The adaptive management element operates in a feedback loop: first determining what will be logged and second implementing that determination by an adaptive logging element. Upon a triggering event, the process returns to the first determination based on any then current parameters. In some embodiments, the parameters include a size estimate to achieve a given target hit rate (target hit rate size estimate) that is used in generating a score or weighting to identify the highest/best scoring/weighted disk(s) for logging.

Claim (Index 19):
The computer program product of  claim 18 , wherein the vDisk selected is a best scoring vDisk of the plurality of vDisks and the best scoring vDisk is determined based on a scoring criteria.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 1.85393
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14251180', '15357742', '13367073', '14278429', '15149618']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5174640910670602
- 35 USC 102 Novelty (BERT): 0.4820533694173418
- Combined Prediction Score: 0.5139230189020884
- Mean Citation Score: 145.453476
- Max Citation Score: 161.46486000000004
- Similarity Product: 108.80627183395748

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

Dataset: test