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 7):
The system of  claim 6 , wherein the one or more modules are further executable by the one or more processors to:\n generate an SCI mark for the original computing platform, based at least in part the SCI rating and a Coefficient of Variance; retrieve a list of a plurality of candidate computing platforms with corresponding SCI marks; and compare the SCI mark of the original computing platform with the corresponding SCI marks of the plurality of candidate computing platforms, and wherein, to identify the first candidate computing platform and the second candidate computing platform from the plurality of computing platforms is based at least in part on a comparison of the SCI mark of the original computing platform and the corresponding SCI marks of the first candidate computing platform and the second candidate computing platform.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.0125
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15158546', '15158544', '15631481', '13568459', '14866567']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4845030811042635
- 35 USC 102 Novelty (BERT): 0.5644291446444321
- Combined Prediction Score: 0.4924956874582804
- Mean Citation Score: 255.425844
- Max Citation Score: 394.382
- Similarity Product: 272.70958503818514

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