PATENT CLAIM ANALYSIS

Application Number: 15874115
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["709", "217000"]

Abstract:
Clustered containerized applications are implemented with scalable provisioning. Methods include receiving a data storage request to store one or more data values in a storage volume implemented across a storage node cluster, the storage node cluster including a plurality of storage nodes including one or more storage devices having storage space allocated for storing data associated with the storage volume. Methods may further include identifying a cluster hierarchy associated with the storage node cluster, the cluster hierarchy identifying storage characteristics of the plurality of storage nodes, the cluster hierarchy also identifying physical location information for the plurality of storage nodes, the physical location information indicating node-to-node proximity on a network graph. Methods may also include selecting a storage node on which to store the data, the selecting being based, at least in part, on the identified storage characteristics and one or more data distribution parameters associated with the storage volume.

Claim (Index 3):
The method of  claim 1 , wherein the storage characteristics are specific to replication characteristics of the storage volume.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.43939
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15874118', '12490202', '12606088', '12433089', '13568459']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.281447152854233
- 35 USC 102 Novelty (BERT): 0.4835366697282465
- Combined Prediction Score: 0.3016561045416344
- Mean Citation Score: 172.362268
- Max Citation Score: 199.93787
- Similarity Product: 142.19970984799926

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