Modeling and Simulation of Quality of Service for Composite Web Services
As businesses begin to link Web services to create new functionality in the form of composite Web services, known as Web processes, it will become increasingly important to have a way of measuring their quality of service (QoS). To this end, we present a method that uses a predictive QoS model to compute the QoS for Web processes in terms of performance, cost and reliability. The ability to compute QoS for a Web process enables an organization to tune the process. Tuning Web processes presents an interesting problem. During the act of tuning, a business may want to explore many different configurations of the Web process in order to answer “what-if” questions. Composing and evaluating the QoS for many different configurations may be prohibitive in terms of time and costs. We present a simulation based technique to overcome this challenge to tuning Web processes.
Silver, G. A.,
Miller, J. A.,
& Sheth, A. P.
(2003). Modeling and Simulation of Quality of Service for Composite Web Services. Proceedings of the 7th World Multiconference on Systemics, Cybernetics, and Informatics, 420-425.