PATENT CLAIM ANALYSIS

Application Number: 16277792
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["709", "226000"]

Abstract:
Systems and methods are described for accurately determining which of a set of networked computing environments most closely approximates a target computing environment. The determination is based on executing a reference workload in the target computing environment and calculating a coefficient of equivalency for each of the networked computing environments, which relates the performance of one or more computing resources in the target computing environment to the corresponding resources in the networked computing environments. The coefficient of equivalency may further be used to determine which of a set of networked computing environments will provide a target level of performance when executing the workload. The target computing environment may be assessed in terms of time, cost, percentage of capacity utilized, or other criteria.

Claim (Index 11):
The system of  claim 9 , the processor further configured to execute the computer-readable instructions to model execution of the workload in the target computing environment, wherein modeling the execution of the workload in the target computing environment comprises predicting a duration of utilization for the individual target computing resources, the prediction based at least in part on the resource metric for the target computing resource, the resource metric for a corresponding networked computing resource, and the utilization metric for the corresponding networked resource.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.09677
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14671679', '14671628', '15639348', '13623845', '14745107']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.297947044894461
- 35 USC 102 Novelty (BERT): 0.5180729248537908
- Combined Prediction Score: 0.319959632890394
- Mean Citation Score: 247.853648
- Max Citation Score: 313.25156
- Similarity Product: 231.9299104188728

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