PATENT CLAIM ANALYSIS

Application Number: 16244528
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["726", "030000"]

Abstract:
A processing system associated with a dispersed storage network is configured to detect a plurality of encoded data slices to be rebuilt, wherein the plurality of encoded data slices are associated with the DST execution unit; identify a plurality of slice names associated with the plurality of encoded data slices; obtain a slice name to slice memory device mapping for the DST execution unit; determine a schedule of rebuilding the plurality of encoded data slices, based on the mapping; and facilitate rebuilding the plurality of encoded data slices in accordance with the schedule of rebuilding.

Claim (Index 1):
A method for execution by a processing system of distributed storage and task (DST) execution unit that includes a processor, the method comprises:\n detecting, via the processing system, a plurality of slice errors, wherein detecting the plurality of slices errors includes detecting that a retrieved integrity value does not compare favorably to a calculated integrity value for at least one of a plurality of encoded data slices; determining, via the processing system, at least one of the plurality of encoded data slices to be rebuilt based on the plurality of slice errors, wherein the plurality of encoded data slices are associated with the DST execution unit; determining, via the processing system, a schedule of rebuilding the plurality of encoded data slices, based on a slice name to slice memory device mapping for the DST execution unit; and facilitating, via the processing system, rebuilding each of the plurality of encoded data slices in accordance with the schedule of rebuilding.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.17021
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15255748', '15848196', '16002638', '15217052', '14292009']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3411722055516542
- 35 USC 102 Novelty (BERT): 0.5343110216165621
- Combined Prediction Score: 0.360486087158145
- Mean Citation Score: 318.101462
- Max Citation Score: 375.93173
- Similarity Product: 372.6691408067203

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

Dataset: test