PATENT CLAIM ANALYSIS

Application Number: 15870849
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["711", "103000"]

Abstract:
Embodiments of the inventive concept include a solid state drive (SSD) shared array memory cache system including memory cache occupancy prediction. The system can include multiple SSD modules each including a non-volatile memory section, a cache, and a prediction agent generator logic section. The system can further include a host agent including an occupancy prediction logic section that can receive prediction agents from the prediction agent generator logic section of each of the SSD modules, and predict content occupancy of the cache based at least on the prediction agents. A method for predicting SSD memory cache occupancy can include processing write requests, predicting content occupancy of an SSD's cache, determining whether an address in the cache is probably logically contiguous to the logical memory address, re-directing at least one write request, and coalescing multiple write requests including the re-directed write request into a single I/O for storage on the non-volatile memory of the SSD.

Claim (Index 12):
The computer-implemented method of  claim 11 , further comprising:\n periodically broadcasting, by the prediction agent generator logic section, the one or more bloom filter vectors.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 86.0
- Lexical Diversity: 2.27027
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13584867', '15425587', '11926743', '13281301', '15456375']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5256122755402811
- 35 USC 102 Novelty (BERT): 0.4952215862566321
- Combined Prediction Score: 0.5225732066119162
- Mean Citation Score: 211.258954
- Max Citation Score: 216.30878
- Similarity Product: 140.48610878774886

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

Dataset: test