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 1):
In a computer system including a data management and storage (DMS) cluster comprising peer DMS nodes and a distributed data store implemented across the data storage resources of the peer DMS nodes, a method for pulling a snapshot of data for an application executing on a compute infrastructure, the method comprising:\n associating, by a peer DMS node, a set of machines from the compute infrastructure with the application, the set of machines configured to execute the application; in response to a request to pull the snapshot of data for the application: generating, by the peer DMS node, data fetch jobs for the set of machines of the application; determining, by the peer DMS node, whether each of the data fetch jobs for the set of machines of the application is ready for execution; and in response to determining that each of the data fetch jobs is ready for execution, executing the data fetch jobs by the peer DMS nodes in parallel to generate snapshots of the set of machines of the application, the generation of the snapshots including the data fetch jobs executing in parallel to take the snapshots of the set of machines of the application.

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): 0.2447645809268782
- 35 USC 102 Novelty (BERT): 0.5514892092998622
- Combined Prediction Score: 0.2754370437641766
- Mean Citation Score: 338.9250820000001
- Max Citation Score: 436.03876
- Similarity Product: 364.7732395711827

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