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22nd International Conference on Data Engineering (ICDE'06)
Automated Storage Management with QoS Guarantees
Atlanta, Georgia
April 03-April 07
ISBN: 0-7695-2570-9
Lin Qiao, IBM Silicon Valley Lab
Balakrishna R. Iyer, IBM Silicon Valley Lab
Divyakant Agrawal, University of California, Santa Barbara
Amr El Abbadi, University of California, Santa Barbara
Automated storage management is critical for most dataintensive applications running on DBMSs. In large-scale storage subsystems, the workload is expected to vary with time. In order to ensure both QoS and efficient usage of storage resources, variation in the actual physical disks is allowed to support a single virtual disk. Such data migration generates extra IOs and consumes storage resources. Not only does data migration need to be scheduled ahead but it must also be scheduled in such a way that QoS violations do not occur because of the extra migration IOs. In this paper, we present a novel analytic framework, PULSTORE, for autonomically managing the storage to provide performance guarantee during migration.
Citation:
Lin Qiao, Balakrishna R. Iyer, Divyakant Agrawal, Amr El Abbadi, "Automated Storage Management with QoS Guarantees," icde, pp.150, 22nd International Conference on Data Engineering (ICDE'06), 2006
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