skip to main content
10.1145/1555271.1555274acmconferencesArticle/Chapter ViewAbstractPublication PagesicacConference Proceedingsconference-collections
research-article

A distributed control framework for performance management of virtualized computing environments: some preliminary results

Published:19 June 2009Publication History

ABSTRACT

There is growing incentive to reduce the power consumed by data centers. Virtualization is a promising approach to consolidating multiple online services onto a smaller number of computing resources. By dynamically provisioning virtual machines, consolidating the workload, and turning servers on and off as needed, data center operators can maintain desired service-level agreements with end users while achieving higher server utilization and energy efficiency. This paper proposes a distributed cooperative control framework for the power and performance management of virtualized computing environments, and presents some preliminary results aimed at establishing the feasibility of this approach.

References

  1. S. Abdelwahed, N. Kandasamy, and S. Neema. Online control for self-management in computing systems. pages 368--375, May 2004.Google ScholarGoogle Scholar
  2. M. Arlitt and T. Jin. A workload characterization study of the 1998 world cup web site. Network, IEEE, 14(3):30--37, May/Jun 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. F. Camacho. Predictive control with constraints: J.m. maciejowski; prentice-hall, pearson education limited, harlow, uk, 2002, isbn 0-201-39823-0 ppr. Automatica, 39(6):1117--1118, 2003.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. G. Chen, W. He, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao. Energy-aware server provisioning and load dispatching for connection-intensive internet services. In NSDI'08: Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, pages 337--350, Berkeley, CA, USA, 2008. USENIX Association. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. W. Felter, K. Rajamani, T. Keller, and C. Rusu. A performance-conserving approach for reducing peak power consumption in server systems. In ICS'05: Proceedings of the 19th annual international conference on Supercomputing, pages 293--302, New York, NY, USA, 2005. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. N. Kandasamy, S. Abdelwahed, and J. Hayes. Self-optimization in computer systems via on-line control: application to power management. pages 54--61, May 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. D. Kusic, J. Kephart, J. Hanson, N. Kandasamy, and G. Jiang. Power and performance management of virtualized computing environments via lookahead control. pages 3--12, June 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. K. Narendra. Neural networks for control theory and practice. Proceedings of the IEEE, 84(10):1385--1406, Oct 1996.Google ScholarGoogle ScholarCross RefCross Ref
  9. X. Wang and M. Chen. Cluster-level feedback power control for performance optimization. pages 101--110, Feb. 2008.Google ScholarGoogle Scholar
  10. Y. Wang, X. Wang, M. Chen, and X. Zhu. Power-efficient response time guarantees for virtualized enterprise servers. In RTSS'08: Proceedings of the 2008 Real-Time Systems Symposium, pages 303--312, Washington, DC, USA, 2008. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. M. Cardosa, M. Korupolu, and A. Singh. Shares and utilities based power consolidation in virtualized server environments. In Proceedings of IFIP/IEEE Integrated Network Management (IM), 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A distributed control framework for performance management of virtualized computing environments: some preliminary results

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          ACDC '09: Proceedings of the 1st workshop on Automated control for datacenters and clouds
          June 2009
          64 pages
          ISBN:9781605585857
          DOI:10.1145/1555271

          Copyright © 2009 ACM

          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 19 June 2009

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader