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Limits of wide-area thin-client computing
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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
SESSION: Distributed systems table of contents
Pages: 228 - 239  
Year of Publication: 2002
ISBN:1-58113-531-9
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Authors
Albert Lai  Columbia University, New York, NY
Jason Nieh  Columbia University, New York, NY
Sponsor
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 23,   Downloads (12 Months): 116,   Citation Count: 13
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ABSTRACT

While many application service providers have proposed using thin-client computing to deliver computational services over the Internet, little work has been done to evaluate the effectiveness of thin-client computing in a wide-area network. To assess the potential of thin-client computing in the context of future commodity high-bandwidth Internet access, we have used a novel, non-invasive slow-motion benchmarking technique to evaluate the performance of several popular thin-client computing platforms in delivering computational services cross-country over Internet2. Our results show that using thin-client computing in a wide-area network environment can deliver acceptable performance over Internet2, even when client and server are located thousands of miles apart on opposite ends of the country. However, performance varies widely among thin-client platforms and not all platforms are suitable for this environment. While many thin-client systems are touted as being bandwidth efficient, we show that network latency is often the key factor in limiting wide-area thin-client performance. Furthermore, we show that the same techniques used to improve bandwidth efficiency often result in worse overall performance in wide-area networks. We characterize and analyze the different design choices in the various thin-client platforms and explain which of these choices should be selected for supporting wide-area computing services.


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CITED BY  13