PATENT CLAIM ANALYSIS

Application Number: 16011660
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["718", "100000"]

Abstract:
Techniques for representative-based approach to store historical resource usage data are disclosed. In one embodiment, a management node may include a statistical representative computational unit to obtain historical resource usage data associated with a workload running on a host, divide the historical resource usage data into a plurality of pools with each pool comprising a predefined number of resource usage statistics, and determine a statistical representative corresponding to each of the pools. Each statistical representative may represent the predefined number of resource usage statistics in a corresponding one of the pools. Further, the management node may include a monitoring and managing unit to monitor and/or manage the workload using the statistical representatives.

Claim (Index 9):
A computer-implemented method for managing a workload in a computing environment, comprising:\n retrieving historical resource usage data associated with the workload from memory; dividing the historical resource usage data into a plurality of pools with each pool comprising a predefined number of resource usage statistics; determining a statistical representative corresponding to each of the pools, wherein each statistical representative is to represent the predefined number of resource usage statistics in a corresponding one of the pools; discarding the resource usage statistics associated with the plurality of pools upon determining the statistical representative corresponding to each of the pools; and monitoring and/or managing the workload using the statistical representatives.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 94.0
- Lexical Diversity: 2.0339
- Patent Class: 718.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10334768', '15280713', '10334262', '15174657', '11831852']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.418178695148557
- 35 USC 102 Novelty (BERT): 0.5063325550686322
- Combined Prediction Score: 0.4269940811405645
- Mean Citation Score: 162.59151799999995
- Max Citation Score: 172.40251
- Similarity Product: 117.57495312122406

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test