PATENT CLAIM ANALYSIS

Application Number: 16030627
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["709", "226000"]

Abstract:
A system for multi-layer quality of service (QoS) management in a distributed computing environment includes a management node hosting a workload scheduler operable to receive a workload and identify a workload QoS class for the workload. The system also includes a plurality of distributed compute nodes. A workload scheduler schedules running of the workload on the compute nodes, translates the workload QoS class to a storage level QoS class, and communicates the storage level QoS class to a workload execution manager of the compute nodes. The workload scheduler communicates the storage level QoS class to one or more storage managers where the storage managers manage storage resources, and the storage managers are operable to extend the storage level QoS class to the storage resources to support the workload QoS class.

Claim (Index 1):
A system, comprising:\n a management node having a processor coupled to a memory, the management node hosting a workload scheduler operable to receive a workload and identify a workload quality of service (QoS) class for the workload; and a plurality of distributed compute nodes, the workload scheduler operable to schedule running of the workload on the compute nodes; and wherein the workload scheduler is operable to:\n translate the workload QoS class to a storage level QoS class; \n communicate the storage level QoS class to a workload execution manager of the compute nodes; and \n communicate the storage level QoS class to one or more storage managers, the storage managers managing storage resources; and \n wherein the storage managers are operable to:\n extend the storage level QoS class to the storage resources to support the workload QoS class; \n monitor for hot spots, wherein the hot spots indicate increased loading with particular QoS classes; and \n replicate data to non-hot spots.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 95.0
- Lexical Diversity: 2.57407
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14474086', '15346496', '15346517', '14517881', '16030647']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3184164655330808
- 35 USC 102 Novelty (BERT): 0.5726041591673611
- Combined Prediction Score: 0.3438352348965088
- Mean Citation Score: 440.57833
- Max Citation Score: 454.7068
- Similarity Product: 445.1615221724987

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