A methodology for workload characterization of E-commerce sites
Proceedings of the 1st ACM conference on Electronic commerce
Business-oriented resource management policies for e-commerce servers
Performance Evaluation - Special issue on internet performance modelling
An admission control scheme for predictable server response time for web accesses
Proceedings of the 10th international conference on World Wide Web
Session-Based Admission Control: A Mechanism for Peak Load Management of Commercial Web Sites
IEEE Transactions on Computers
Mining Web Logs to Improve Web Caching and Prefetching
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
On admission control for profit maximization of networked service providers
WWW '03 Proceedings of the 12th international conference on World Wide Web
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Efficiently Distributing Component-Based Applications Across Wide-Area Environments
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A method for transparent admission control and request scheduling in e-commerce web sites
Proceedings of the 13th international conference on World Wide Web
Mining Web Transaction Patterns in Electronic Commerce Environment
CEC-EAST '04 Proceedings of the E-Commerce Technology for Dynamic E-Business, IEEE International Conference
Achieving Class-Based QoS for Transactional Workloads
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Resource Allocation for Session-Based Two-Dimensional Service Differentiation on e-Commerce Servers
IEEE Transactions on Parallel and Distributed Systems
Latency and player actions in online games
Communications of the ACM - Entertainment networking
Experiment and analysis for QoS of E-commerce systems
Journal of Theoretical and Applied Electronic Commerce Research
Optimal Processing Policies for an e-Commerce Web Server
INFORMS Journal on Computing
PDP '07 Proceedings of the 15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing
Two-level workload characterization of online auctions
Electronic Commerce Research and Applications
Designing an overload control strategy for secure e-commerce applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
A business-oriented load dispatching framework for online auction sites
QEST '07 Proceedings of the Fourth International Conference on Quantitative Evaluation of Systems
Profit-aware overload protection in E-commerce Web sites
Journal of Network and Computer Applications
Cost-based admission control for Internet Commerce QoS enhancement
Electronic Commerce Research and Applications
Electronic Commerce Research and Applications
Performance evaluation of e-commerce requests in wireless cellular networks
Information and Software Technology
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Exploiting Service Usage Information for Optimizing Server Resource Management
ACM Transactions on Internet Technology (TOIT)
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Meeting client Quality-of-Service (QoS) expectations proves to be a difficult task for the providers of e-Commerce services, especially when web servers experience overload conditions, which cause increased response times and request rejections, leading to user frustration, lowered usage of the service and reduced revenues. In this paper, we propose a server-side request scheduling mechanism that addresses these problems. Our Reward-Driven Request Prioritization (RDRP) algorithm gives higher execution priority to client web sessions that are likely to bring more service profit (or any other application-specific reward). The method works by predicting future session structure by comparing its requests seen so far with aggregated information about recent client behavior, and using these predictions to preferentially allocate web server resources. Our experiments using the TPC-W benchmark application with an implementation of the RDRP techniques in the JBoss web application server show that RDRP can significantly boost profit attained by the service, while providing better QoS to clients that bring more profit.