PATENT CLAIM ANALYSIS

Application Number: 16018000
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["707", "645000"]

Abstract:
A data management and storage (DMS) cluster of peer DMS nodes manages data of an application distributed across a set of machines of a compute infrastructure. A DMS node associates a set of machines with the application, and generates data fetch jobs for the set of machines for execution by multiple peer DMS nodes. The DMS node determining whether each of the data fetch jobs for the set of machines is ready for execution by the peer DMS nodes. In response to determining that each of the data fetch jobs is ready for execution, the peer DMS nodes execute the data fetch jobs to generate snapshots of the set of machines. The snapshots may be full or incremental snapshots, and collectively form a snapshot of the application.

Claim (Index 8):
The method of  claim 1 , further comprising:\n determining, by the peer DMS node, whether each of the data fetch jobs were successfully executed; in response to determining that a data fetch job of the data fetch jobs failed to successfully execute, generating, by the DMS node, additional data fetch jobs for the application including a full snapshot for a first machine associated with the failed data fetch job and an incremental snapshot of a snapshot for a second machine associated with a successful data fetch job of the data fetch jobs; executing, by the peer DMS nodes, the second data fetch jobs to generate the full snapshot for the failed data fetch job and the incremental snapshot; and storing, by the peer DMS nodes, a snapshot of the application including the full snapshot for the first machine, the snapshot for the second machine, and the incremental snapshot of the snapshot for the second machine in the distributed data store.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.44643
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16018013', '16008972', '16008989', '15853717', '14740089']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2487355063728308
- 35 USC 102 Novelty (BERT): 0.5413411995414822
- Combined Prediction Score: 0.277996075689696
- Mean Citation Score: 338.9250820000001
- Max Citation Score: 436.03876
- Similarity Product: 275.1802404580736

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