The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 23, 2021

Filed:

Jun. 18, 2019
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

John J. Auvenshine, Tucson, AZ (US);

Bernhard J. Klingenberg, Grover Beach, CA (US);

Sunhwan Lee, Menlo Park, CA (US);

James E. Olson, Seymour, CT (US);

Mu Qiao, Belmont, CA (US);

Ramani R. Routray, San Jose, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/22 (2019.01); G06F 16/215 (2019.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06F 16/2246 (2019.01); G06F 16/215 (2019.01); H04L 67/10 (2013.01);
Abstract

A method and associated systems for optimized orchestration of a data-migration project. A data-migration orchestration system represents a hierarchical organization of each dataset to be migrated as a tree, where each leaf node of the tree represents data to be migrated and where a path between the leaf node and the root node represents a hierarchical directory pathname of sensitive data represented by the leaf node. Each tree is assigned a sensitivity signature that is proportional to the relative sensitivity and access frequency of the dataset represented by that tree. The signatures are organized into clusters as a function of the distances between each signature, and each signature is associated with a soft migration cost specific to that signature's cluster. A soft cost for migrating an application that requires multiple datasets may be determined by adding the migration costs associated with each of the multiple datasets.


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