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The internet vs e-commerce servers: when will server performance matter?
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Source IBM Centre for Advanced Studies Conference archive
Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research table of contents
Toronto, Ontario, Canada
Page: 14  
Year of Publication: 1998
Authors
D. Krishnamurthy  Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada, K1S 5B6
J. Rolia  Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada, K1S 5B6
Sponsors
IBM Canada : IBM Canada
NRC : National Research Council - Canada
Publisher
IBM Press 
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Downloads (6 Weeks): 6,   Downloads (12 Months): 23,   Citation Count: 2
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ABSTRACT

The cycle time of an Internet based online shopper includes time at an electronic commerce (e-commerce) server to gather information and purchase products, download time to transfer data over the Internet, and think time for interpreting the results of individual requests. Currently most home based shoppers are limited to 56.6K modems and have cycle times largely determined by download time. Mega-bit (Mb) modems will soon be commonplace and will cause a significant reduction in the download time component of the shopper cycle time. This gain in download time can be utilized by the shoppers to submit additional requests to the server during their cycle times leading to an increased overall load on the server. The purpose of this paper is to consider the impact of higher shopper bandwidths on the performance of web-based shopping servers. To start with, we study the contents of several professionally managed e-commerce sites to obtain measures that include average page size and measures of mall size. The performance of a demonstration shopping mall system is measured under a controlled load to obtain optimistic measures of resource demands for such sites. An analytic model is developed and validated with respect to the measured system. The model is then modified to predict the behavior of both small and large shopping mall sites as client access to bandwidth and Internet performance increases.


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.

 
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{2} D. Krishnamurthy, Performance Characterization of Web-Based Shopping Systems, "MEng. Thesis", Department of Systems and Computer Engineering, Carleton University, Canada, September 1998.
 
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{3} D. Krishnamurthy, J. Rolia, Workload Characterization Tools for E-Commerce Servers, In "Electronic Commerce: International IFIP/GI Working Conference on Trends in Distributed Systems for Electronic Commerce", pages 5-15, dpunkt.verlag, Hamburg, 1998.
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{5} D. Krishnamurthy and J. Rolia, Predicting the Performance of an E-Commerce Server: Those Mean Percentiles, Presented at the "Workshop on Internet Server Performance", Wisconsin, USA, June 1998.
 
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{9} M. Reiser, A Queuing Network Analysis of Computer Communication Networks with Window Flow Control, "IEEE Transactions on Communications", pages 1201-1209, August 1979.
 
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{10} J. Rolia, Predicting the Performance of Software Systems, "CSRI Technical Report 260", University of Toronto, Canada, January 1992.
 
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{11} R. Jain, The Art of Computer Systems Performance Analysis, John Wiley and Sons, 1991.


Collaborative Colleagues:
D. Krishnamurthy: colleagues
J. Rolia: colleagues