PATENT CLAIM ANALYSIS

Application Number: 15776135
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["711", "100000"]

Abstract:
Proposed are a storage apparatus and a control method thereof capable of improving the response performance to a read access of various access patterns. When data to be read is not retained in a data buffer memory, upon staging the data to be read, a processor performs sequential learning of respectively observing an access pattern in units of blocks of a predetermined size and an access pattern in units of slots configured from a plurality of the blocks regarding an access pattern of the read access from the host apparatus, and expands a data range to be staged as needed based on a learning result of the sequential learning.

Claim (Index 7):
The storage apparatus according to  claim 5 ,\n wherein each of the processors: shares the second access observation information of a predetermined number of the access areas in which a count of the read access is high among the access areas configured from a plurality of the slots; and when the read access is designating the access area without the second access observation information as an access destination, replaces the second access observation information corresponding to the access area with a lowest access count among the second access observation information with the second access observation information corresponding to the access area of the access destination of the read access.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 93.0
- Lexical Diversity: 1.9322
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14904813', '13964787', '12007531', '13263996', '12889559']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.526646080487535
- 35 USC 102 Novelty (BERT): 0.4748200151160223
- Combined Prediction Score: 0.5214634739503837
- Mean Citation Score: 156.149676
- Max Citation Score: 162.86086
- Similarity Product: 117.15382053979395

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