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Author Wang, C. P. ♦ Senko, M. E. ♦ Lum, V. Y. ♦ Ling, H.
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Keyword Data migration ♦ Storage system configuration ♦ Data set allocation ♦ Data staging ♦ Hierarchical storage ♦ Storage allocation analysis
Abstract Data set allocation in today's multilevel storage systems is usually based on qualitative, ad hoc decisions. While it would be desirable to obtain an optimal solution to this allocation problem, it is clear that the number of parameters involved makes it intractable to straight-forward solution. In such a situation, we must find a set of assumptions which simplify the problem greatly, but which still provide a basis for considering all significant cost elements. This paper presents such a first, quantitative allocation step. It considers many of the significant detailed costs of system utilization, data storage, data staging, and data migration. Although many avenues of further improvement are available, the present algorithm seems to be usefully accurate. As such, it can aid in quantifying the problems of data set allocation, storage system configuration, and new device designs.
Description Affiliation: IBM Research Lab, San Jose, CA (Lum, V. Y.; Senko, M. E.; Wang, C. P.; Ling, H.)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-08-01
Publisher Place New York
Journal Communications of the ACM (CACM)
Volume Number 18
Issue Number 6
Page Count 5
Starting Page 318
Ending Page 322


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Source: ACM Digital Library