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Admission control and dynamic adaptation for a proportional-delay diffserv-enabled web server
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Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems table of contents
Marina Del Rey, California
SESSION: Web table of contents
Pages: 172 - 182  
Year of Publication: 2002
ISBN:1-58113-531-9
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Authors
Sam C. M. Lee  The Chinese University of Hong Kong
John C. S. Lui  The Chinese University of Hong Kong
David K. Y. Yau  Purdue University, West Lafayette, IN
Sponsor
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
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ABSTRACT

We consider a web server that can provide differentiated services to clients with different QoS requirements. The web server can provide N > 1 classes of service. Rather than using a strict priority policy , which may lead to request starvation, the web server provides a proportional-delay differentiated service (PDDS) to heterogeneous clients. An operator for the web server can specify "fixed" performance spacings between classes, namely, ri,i+1 > 1, for i = 1,…,N - 1. Requests in class i + 1 are guaranteed to have an average waiting time which is 1/ri,i+1 of the average waiting time of class i requests. With PDDS, we can provide consistent performance spacings over a wide range of system loadings. In addition, each client can specify a maximum average waiting time requirement to be guaranteed by the web server. We propose two efficient admission control algorithms so that a web server can provide the QoS guarantees and, at the same time, classify each client to its "lowest" admissible class, resulting in lowest usage cost for the client. We also consider how to perform end-point dynamic adaptation such that clients can submit requests at lower class and further reduce their usage cost, without violating their QoS requirements. We propose two dynamic adaptation algorithms: one is server-based and the other is client-based. The client-based adaptation is based on a non-cooperative game technique. We report diverse experimental results to illustrate the effectiveness of these algorithms.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
V. Cardellini, E. Casalicchico, M. Colajanni, and M. Mambelli. Web switch support for differentiated services. In Performance and Architecture of Web Servers (PAWS), Boston, June 2001.
 
2
M. Crovella, R. Frangioso, and M. Harchol-Balter. Connection scheduling in web servers. In Proceedings of USITS'99, Boulder, October 1999.
 
3
4
 
5
R. Gibbons. Game Theory for Applied Economists. Princeton University Press, 1992.
 
6
V. Kanodia and E. Knightly. Multi-class latency-bounded web services. In IEEE/IFIP IWQoS 2000, Pittsburgh, PA, June 2000.
 
7
L. Kleinrock. Queueing Systems: Vol 2. Wiley-interscience, New York, 1976.
 
8
S. C. M. Lee, J. C. S. Lui, and D. K. Y. Yau. Admission control and dynamic adaptation for a proportional delay diffserv-enable web server. In Technical Report, CUHK, Department of Computer Science & Engineering, 2001.
 
9
 
10
 
11
S. Shenker. Fundamental design issues for the future internet. IEEE Journal of Selected areas in Communication, 13:1141-1149, 1995.
 
12
H. Zhu, H. Tang, and T. Yang. Demand-driven service differentiation in cluster-based network servers. In Proc. IEEE Infocom 2001, Anchorage, Alaska, April 2001.

Collaborative Colleagues:
Sam C. M. Lee: colleagues
John C. S. Lui: colleagues
David K. Y. Yau: colleagues