International Business Machines Corporation

Sandeep M Uttamachandani

Pin Zhou

Kavita Chavda

Seshashayee Sankarshana Murthy

Mickey Iqbal

Brian Cho

A method and associated system for continuously optimizing data archive management scheduling. A flow network is modeled, which creates vertexes organized in multiple levels and creating multiple edges sequentially connecting the vertexes of the multiple levels. The multiple levels consist of N+1 levels denoted as LEVEL, LEVEL, . . . , LEVEL, wherein N is at least 2, wherein LEVELincludes a source vertex, wherein LEVELincludes at least one task vertex associated with at least one archive management task, wherein EDGEis directed from the vertex of LEVELto the vertex of LEVELfor K=1, . . . , N, wherein EDGEindicates that a first task associated with a first task vertex of LEVELis scheduled by a job scheduler, and wherein EDGEhas a first weight equal to a time unit to perform the first task.

Continuous optimization of archive management scheduling by use of integrated content-resource analytic model

A method and associated system for continuously optimizing data archive management scheduling. A flow network is modeled. The flow network represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices such that an optimal path in the flow network from a task of at least one archive management task to a worker program of the archive management system represents an optimal initial schedule for the worker program to perform the task.

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San Jose, CA, United States of America

Sandeep M Uttamachandani