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Improved timing control for web server systems using internal state information

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Published:10 May 2005Publication History

ABSTRACT

How to effectively allocate system resource to meet the Service Level Agreement (SLA) of Web servers is a challenging problem. In this paper, we propose an improved scheme for autonomous timing performance control in Web servers under highly dynamic traffic loads. We devise a novel delay regulation technique called Queue Length Model Based Feedback Control utilizing server internal state information to reduce response time variance in presence of bursty traffic. Both simulation and experimental studies using synthesized workloads and real-world Web traces demonstrate the effectiveness of the proposed approach.

References

  1. L. Sha, X. Liu, Y. Lu, T. Abdelzaher, "Queueing Model Based Network Server Performance Control", IEEE Real-Time Systems Symposium, Phoenix, Texas, Dec, 2002 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. M. Crovella, A. Bestavros, "Self-Similarity in World Wide Web Traffic: Evidence and Possible Cause", Proceedings of SIGMETRICS 1996 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Arlitt and T. Jin, 1998 World Cup Web Site Access Logs, Aug. 1998. Available at http://www.acm.org/sigcomm/ITA/Google ScholarGoogle Scholar
  4. X. Liu, R. Zheng, J. Heo and L. Sha, "Timing Performance Control in Web Server Systems Utilizing Internal State Information", extended version, Available at http://www-sal.cs.uiuc.edu/~xueliu/Timing.pdfGoogle ScholarGoogle Scholar

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  1. Improved timing control for web server systems using internal state information

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    • Published in

      cover image ACM Conferences
      WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web
      May 2005
      454 pages
      ISBN:1595930515
      DOI:10.1145/1062745

      Copyright © 2005 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 10 May 2005

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      Overall Acceptance Rate1,899of8,196submissions,23%

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