A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
In search of invariants for e-business workloads
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ACM Transactions on Internet Technology (TOIT)
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DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Insights and analyses of online auctions
Communications of the ACM
Scaling for E Business: Technologies, Models, Performance, and Capacity Planning
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The eBay Phenomenon: Business Secrets Behind the World's Hottest Internet Company
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IEEE Internet Computing
A hierarchical and multiscale approach to analyze E-business workloads
Performance Evaluation
Improving the Performance of Online Auction Sites through Closing Time Rescheduling
QEST '04 Proceedings of the The Quantitative Evaluation of Systems, First International Conference
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Cluster Analysis
Server-Side caching strategies for online auction sites
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
RDRP: Reward-Driven Request Prioritization for e-Commerce web sites
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ACM Transactions on Internet Technology (TOIT)
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Online auctions are rapidly becoming one of the significant forms of electronic commerce for buying and selling goods and services. A good understanding of the workload of auction sites should provide insights about their activities and help in improving the quality of the service provided to their users. This paper presents a site level and a user level workload characterization of a real online auction site using data collected by automated agents. The main contributions of this paper are as follows: (i) a detailed workload characterization of a real auction site; (ii) an analysis of the presence of heavy tailed distributions in this workload; (iii) an analysis of the bidding activity during closing minutes of auctions; and (iv) an analysis of the arrival rate process of bidders and bids within clusters based on different attributes. These results can be used to devise dynamic pricing and promotion models to improve revenue throughput of online auction sites.