PATENT CLAIM ANALYSIS

Application Number: 15926260
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["718", "100000"]

Abstract:
Embodiments presented herein disclose adaptive techniques for scheduling self-maintenance processes. A load predictor estimates, based on a current state of a distributed storage system, an amount of resources of the system required to perform each of a plurality of self-maintenance processes. A maintenance process scheduler estimates, based on one or more inputs, an amount of resources of the distributed system available to perform one or more of the self-maintenance processes during at least a first time period. The maintenance process scheduler determines a schedule for the one or more of the self-maintenance processes to perform during the first time period, based on the estimated amount of resources required and available.

Claim (Index 17):
The system of  claim 15 , wherein the operation further comprises:\n performing each of the scheduled self-maintenance processes during the first time period; and collecting execution statistics of the performance of each of the scheduled self-maintenance processes.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.24528
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14852249', '10934076', '11985909', '13093645', '14795797']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4007961443710044
- 35 USC 102 Novelty (BERT): 0.5476692445366765
- Combined Prediction Score: 0.4154834543875716
- Mean Citation Score: 173.127426
- Max Citation Score: 328.01706
- Similarity Product: 299.4050029012585

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