PATENT CLAIM ANALYSIS

Application Number: 16024681
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["718", "105000"]

Abstract:
This disclosure sets forth systems and methods for recommending candidate computing platforms for migration of data and data-related workload from an original computing platform. Recommendations of candidate computing platforms may be based on a comparison of key performance and utilization statistics of the original computing platform under a user-generated workload with candidate computing platforms under a synthetic workload. Key performance and utilization statistics may relate to CPU, memory, file I/O, network I/O, and database I/O operations on the respective computing platforms. The synthetic workload may be defined by parameters that simulate the key performance and utilization statistics of the original computing platform under the user-generated workload. Further, the synthetic workloads may be executed on individual candidate computing platforms to determine service level capabilities that are ultimately used to form the recommendation. The recommendation may be further based at least in part on price/performance ratios as defined by separate customer requirements.

Claim (Index 15):
The computer-implemented method of  claim 13 , further comprising:\n generating an SCI rating for the original computing platform under the user-generated workload, the SCI rating being based at least in part on the set of key performance and utilization characteristics; determining a Coefficient of Variance that corresponds to the original computing platform under the user-generated workload, and wherein, the SCI mark is based at least in part on a combination of the SCI rating and the Coefficient of Variance.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.0125
- Patent Class: 718.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15158546', '15158544', '15631481', '13568459', '14866567']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4546872121999314
- 35 USC 102 Novelty (BERT): 0.562406349674793
- Combined Prediction Score: 0.4654591259474177
- Mean Citation Score: 255.425844
- Max Citation Score: 394.382
- Similarity Product: 278.1773365162611

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