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Web server benchmarking using parallel WAN emulation
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Source Joint International Conference on Measurement and Modeling of Computer Systems archive
Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems table of contents
Marina Del Rey, California
POSTER SESSION: Poster papers table of contents
Pages: 286 - 287  
Year of Publication: 2002
ISBN:1-58113-531-9
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Authors
Rob Simmonds  University of Calgary, Calgary, AB, Canada
Carey Williamson  University of Calgary, Calgary, AB, Canada
Russell Bradford  University of Bath, Bath, UK
Martin Arlitt  University of Calgary, Calgary, AB, Canada
Brian Unger  University of Calgary, Calgary, AB, Canada
Sponsor
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 26,   Citation Count: 2
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ABSTRACT

This paper discusses the use of a parallel discrete-event network emulator called the Internet Protocol Traffic and Network Emulator (IP-TNE) for Web server benchmarking. The experiments in this paper demonstrate the feasibility of high-performance WAN emulation using parallel discrete-event simulation techniques on shared-memory multiprocessors. Our experiments with the Apache Web server achieve 3400 HTTP transactions per second for simple Web workloads, and 1000 HTTP transactions per second for realistic Web workloads, for static document retrieval across emulated WAN topologies of up to 4096 concurrent Web/TCP clients. The results show that WAN characteristics, including round-trip delays, link speeds, packet losses, packet sizes, and bandwidth asymmetry, all have significant impacts on Web server performance. WAN emulation enables stress testing and benchmarking of Web server performance in ways that may not be possible in simple LAN test scenarios.


REFERENCES

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R. Simmonds, C. Williamson, R. Bradford, M. Arlitt, and B. Unger, "A Case Study of Web Benchmarking Using Parallel WAN Emulation", available from http://www.cpsc.ucalgary.ca/~carey/papers/iptne.pdf

Collaborative Colleagues:
Rob Simmonds: colleagues
Carey Williamson: colleagues
Russell Bradford: colleagues
Martin Arlitt: colleagues
Brian Unger: colleagues