PATENT CLAIM ANALYSIS

Application Number: 15984180
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["711", "133000"]

Abstract:
Provided are a computer program product, system, and method for using a machine learning module to select one of multiple cache eviction algorithms to use to evict a track from the cache. A first cache eviction algorithm determines tracks to evict from the cache. A second cache eviction algorithm determines tracks to evict from the cache, wherein the first and second cache eviction algorithms use different eviction schemes. At least one machine learning module is executed to produce output indicating one of the first cache eviction algorithm and the second cache eviction algorithm to use to select a track to evict from the cache. A track is evicted that is selected by one of the first and second cache eviction algorithms indicated in the output from the at least one machine learning module.

Claim (Index 6):
The computer program product of  claim 5 , wherein the cache statistics comprises at least one of a size of the cache, a cache miss-to-hit ratio, first access frequency of the first evict track for the first machine learning module and second access frequency of the second evict track for the second machine learning module, a first location of the first evict track in a least recently used (LRU) list for the first machine learning module and a second location of the second evict track in the LRU list for the second machine learning module.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 93.0
- Lexical Diversity: 2.71154
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12109258', '12027983', '11538091', '15212920', '15972797']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5678449446574761
- 35 USC 102 Novelty (BERT): 0.5149238650123691
- Combined Prediction Score: 0.5625528366929654
- Mean Citation Score: 258.525696
- Max Citation Score: 293.58743
- Similarity Product: 191.40787782489485

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