Article

Improved timing control for web server systems using internal state information

Authors:

Xue Liu,

Rong Zheng,

Jin Heo,

Lui ShaAuthors Info & Claims

WWW '05: Special interest tracks and posters of the 14th international conference on World Wide Web

Pages 1068 - 1069

https://doi.org/10.1145/1062745.1062872

Published: 10 May 2005 Publication History

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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

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[2]

M. Crovella, A. Bestavros, "Self-Similarity in World Wide Web Traffic: Evidence and Possible Cause", Proceedings of SIGMETRICS 1996

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[3]

M. Arlitt and T. Jin, 1998 World Cup Web Site Access Logs, Aug. 1998. Available at http://www.acm.org/sigcomm/ITA/

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[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.pdf

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Balaji MRao GKumar CReed DSun XFoster I(2014)A comparitive study of predictive models for cloud infrastructure managementProceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2014.32(923-926)Online publication date: 26-May-2014
https://dl.acm.org/doi/10.1109/CCGrid.2014.32

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Published In

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

Conference Chairs:
Allan Ellis
Southern Cross University, Australia
,
Tatsuya Hagino
Keio University, Japan
,
Program Chairs:
Fred Douglis
IBM Research
,
Prabhakar Raghavan
Verity, Inc.

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]

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Association for Computing Machinery

New York, NY, United States

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Published: 10 May 2005

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Balaji MRao GKumar CReed DSun XFoster I(2014)A comparitive study of predictive models for cloud infrastructure managementProceedings of the 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing10.1109/CCGrid.2014.32(923-926)Online publication date: 26-May-2014
https://dl.acm.org/doi/10.1109/CCGrid.2014.32

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Timing Performance Control in Web Server Systems Utilizing Server Internal State Information

Web server QoS models: applying scheduling rules from production planning

Control-theoretic Analysis of Admission Control Mechanisms for Web Server Systems

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