Invention Grant
- Patent Title: Predicting cloud enablement from storage and data metrics harnessed from across stack
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Application No.: US14923112Application Date: 2015-10-26
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Publication No.: US11070617B2Publication Date: 2021-07-20
- Inventor: Sunhwan Lee , Sushama Karumanchi , Mu Qiao , Ramani R. Routray
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Zilka-Kotab, P.C.
- Main IPC: H04L29/08
- IPC: H04L29/08 ; H04L12/26

Abstract:
A computer-implemented method is provided for predicting cloud enablement from storage and data metrics harnessed from across stack. The computer-implemented method includes identifying a corpus of data to be classified, and configuring at least one access threshold and at least one sensitivity threshold. The computer-implemented method also includes classifying at least a portion the data within the corpus based on the at least one access threshold and the at least one sensitivity threshold. Finally, the computer-implemented method includes outputting a model, based on the classification, that identifies at least a portion of the data for migration for enabling a hybrid cloud environment.
Public/Granted literature
- US20170118282A1 PREDICTING CLOUD ENABLEMENT FROM STORAGE AND DATA METRICS HARNESSED FROM ACROSS STACK Public/Granted day:2017-04-27
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