Automated storage management with QoS guarantees

Lin Qiao, Balakrishna R. Iyer, Divyakant Agrawal, Amr EI Abbadi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Automated storage management is critical for most data-intensive 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, PUL-STORE, for autonomically managing the storage to provide performance guarantee during migration.

Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Data Engineering, ICDE '06
Number of pages1
DOIs
Publication statusPublished - 17 Oct 2006
Event22nd International Conference on Data Engineering, ICDE '06 - Atlanta, GA, United States
Duration: 3 Apr 20067 Apr 2006

Publication series

NameProceedings - International Conference on Data Engineering
Volume2006
ISSN (Print)1084-4627

Other

Other22nd International Conference on Data Engineering, ICDE '06
CountryUnited States
CityAtlanta, GA
Period3/4/067/4/06

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Qiao, L., Iyer, B. R., Agrawal, D., & Abbadi, A. EI. (2006). Automated storage management with QoS guarantees. In Proceedings of the 22nd International Conference on Data Engineering, ICDE '06 [1617518] (Proceedings - International Conference on Data Engineering; Vol. 2006). https://doi.org/10.1109/ICDE.2006.27