Real-Time Robust Adaptive Modeling and Scheduling for an Electronic Commerce Server

Authors:
Bing Du;Chun Ruan
Affiliations:
School of Electrical and Information Engineering, University of Sydney, Australia;School of Computing and Mathematics, University of Western Sydney, Australia
Venue:
EC-Web 2009 Proceedings of the 10th International Conference on E-Commerce and Web Technologies
Year:
2009

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Abstract

With the increasing importance and pervasiveness of Internet services, it is becoming a challenge for the proliferation of electronic commerce services to provide performance guarantees under extreme overload. This paper describes a real-time optimization modeling and scheduling approach for performance guarantee of electronic commerce servers. We show that an electronic commerce server may be simulated as a multi-tank system. A robust adaptive server model is subject to unknown additive load disturbances and uncertain model matching. Overload control techniques are based on adaptive admission control to achieve timing guarantees. We evaluate the performance of the model using a complex simulation that is subjected to varying model parameters and massive overload.