PATENT CLAIM ANALYSIS

Application Number: 15967350
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["714", "755000"]

Abstract:
A method includes distributively encoding data stored in a storage system using an erasure-correcting code. The encoded data is distributed into multiple w storage device arrays in the storage system. Each storage device array includes n storage devices. Each storage device is divided into m sectors or pages. The n storage devices are grouped into l groups of t storage devices each. Data erasures in the w storage device arrays are corrected by recovering erased data using the erasure-correcting code of un-erased data based on each row and column in each m×n array being protected by the erasure-correcting code for the data. Each group of t storage devices contains extra second responder parities to correct extra data erasures in addition to data erasures corrected by first responder vertical parities in each m×t subarray, and w, n, m, l and t are positive integers.

Claim (Index 2):
The method of  claim 1 , wherein distributively encoding the data stored in the storage system comprises:\n computing, by at least one global controller of the storage system, horizontal parities, local parities and shared parities from the data; and distributing computing of vertical parities from the data to a plurality of local controllers of a plurality of storage devices in the storage system, wherein distributing computing between the at least one global controller and the plurality of storage devices in the storage system improves scalability of the storage system.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.08108
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15019633', '14722356', '15819409', '14968713', '14505328']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.297480277432023
- 35 USC 102 Novelty (BERT): 0.5894059280114781
- Combined Prediction Score: 0.3266728424899685
- Mean Citation Score: 317.6480600000001
- Max Citation Score: 493.99800000000016
- Similarity Product: 450.1018504607678

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

Dataset: test