PATENT CLAIM ANALYSIS

Application Number: 16031654
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["711", "165000"]

Abstract:
Provided are a computer program product, system, and method for determining an optimal storage environment for data sets and for migrating data sets. Metadata for each application indicates storage pools used by the application to store data sets, wherein each storage pool is configured in one of a plurality of storage environments using different organization schemes to store data sets. The metadata for at least one application indicates storage pools to store the data sets for the application that are allocated from different storage environments. The metadata for an application is processed to determine a data set for the application stored in a first storage pool implemented in a first storage environment that should be stored in a second storage environment. The determined data set from the first storage pool to a second storage pool implemented in the second storage environment.

Claim (Index 8):
The computer program product of  claim 6 , wherein the classifying the data access information for the data set is performed by a machine learning algorithm that is trained to produce one of the access pattern classifications based on the data access information for the data set.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 95.0
- Lexical Diversity: 2.48333
- Patent Class: 711.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14345934', '14458057', '15435136', '12778075', '11605931']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5537806829018419
- 35 USC 102 Novelty (BERT): 0.4655592644801875
- Combined Prediction Score: 0.5449585410596764
- Mean Citation Score: 150.93932800000005
- Max Citation Score: 154.47365
- Similarity Product: 116.21697575032712

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