PULSATINGSTORE*: An analytic framework for automated storage management

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

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

Abstract

Self-management of large information technology components, such as DBMSs, has emerged as one important problem in the area of autonomic computing. In particular, automated storage management is critical for most data-intensive applications. The reason is that the storage maintenance cost manifests one of the biggest factors in the overall operational cost. At the same time, due to the interactive nature of most applications, users typically pose the QoS constraints on 10 access performance. Hence it is crucial to ensure that the applications are not underprovisioned (giving rise to the risk of QoS violation) or over-provisioned (resulting in high operational costs). Such issue gets further complicated when the application workload keeps changing. In this paper, we present a novel analytic framework, PULSATINGSTORE, for autonomically managing the storage to balance the cost and performance in an online manner. In particular, given the workload characteristics of an application and storage QoS requirement, our PULSATINGSTORE framework is capable of scheduling the up-migration (in the case of under-provisioning) or down-migration (in the case of over-provisioning) with the optimal or near-optimal cost while still maintaining the QoS constraint.

Original languageEnglish
Title of host publicationProceedings - International Workshop on Biomedical Data Engineering, BMDE2005
DOIs
Publication statusPublished - 1 Dec 2005
Event21st International Conference on Data Engineering Workshops 2005 - Tokyo, Japan
Duration: 3 Apr 20054 Apr 2005

Publication series

NameProceedings - International Workshop on Biomedical Data Engineering, BMDE2005
Volume2005

Other

Other21st International Conference on Data Engineering Workshops 2005
CountryJapan
CityTokyo
Period3/4/054/4/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Lin, Q., Iyer, B. R., Agrawal, D., & El Abbadi, A. (2005). PULSATINGSTORE*: An analytic framework for automated storage management. In Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005 [1647830] (Proceedings - International Workshop on Biomedical Data Engineering, BMDE2005; Vol. 2005). https://doi.org/10.1109/ICDE.2005.271