PATENT CLAIM ANALYSIS

Application Number: 16133742
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["709", "226000"]

Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed for managing compute resources in a hyperconverged infrastructure computing environment. An example apparatus includes a resource manager table populator to populate a resource management table with information identifying workloads and a workload categorizer to categorize the workloads identified in the resource management table as needy workloads or offering workloads. The disclosed apparatus further include a workload selector to select an offering workload to lend resources to a needy workload, and a resource configurer. The resource configurer to cause a host included in the workload to spin a virtual machine or create a container, and assign the virtual machine or container to support the needy workload.

Claim (Index 7):
An apparatus as defined in  claim 1 , wherein the workload selector is to identify a first offering workload of a plurality of offering workloads to lend resources to the needy workload based on first characteristics of the first offering workload being similar to second characteristics of the needy workload, the first and second characteristics to include at least of an operating speed and a security configuration.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 97.0
- Lexical Diversity: 1.96774
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14796826', '15280334', '14788193', '15152459', '13674180']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2793488093015209
- 35 USC 102 Novelty (BERT): 0.4840810882338244
- Combined Prediction Score: 0.2998220371947513
- Mean Citation Score: 182.027212
- Max Citation Score: 193.69229
- Similarity Product: 141.0708927446592

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