Zhiguang Shan, Chuang Lin, Yang Yang, and Yan Wang, Performance Modeling and Approximate Analysis of Multiserver Multiqueue Systems with Poisson and Self-similar Arrivals, J. Univ. Sci. Technol. Beijing, 8(2001), No. 2, pp. 145-151.
Cite this article as:
Zhiguang Shan, Chuang Lin, Yang Yang, and Yan Wang, Performance Modeling and Approximate Analysis of Multiserver Multiqueue Systems with Poisson and Self-similar Arrivals, J. Univ. Sci. Technol. Beijing, 8(2001), No. 2, pp. 145-151.
Zhiguang Shan, Chuang Lin, Yang Yang, and Yan Wang, Performance Modeling and Approximate Analysis of Multiserver Multiqueue Systems with Poisson and Self-similar Arrivals, J. Univ. Sci. Technol. Beijing, 8(2001), No. 2, pp. 145-151.
Citation:
Zhiguang Shan, Chuang Lin, Yang Yang, and Yan Wang, Performance Modeling and Approximate Analysis of Multiserver Multiqueue Systems with Poisson and Self-similar Arrivals, J. Univ. Sci. Technol. Beijing, 8(2001), No. 2, pp. 145-151.
The problem of state space explosion is still ran outstanding challenge in Markovian performance analysis for multiserver multiqueue (MSMQ) systems. The system behavior of a MSMQ system is described using stochastic high-level Petri net (SHLPN) models, and an approximate performance analysis technique is proposed based on decomposition and refinement methods as well as iteration technique. A real MSMQ system, Web-server cluster, is investigated. The performance of an integrated scheme of request dispatching and scheduling is analyzed with both Poisson and self-similar request arrivals. The study shows that the approximate analysis technique significantly reduces the complexity of the model solution and is also efficient for accuracy of numerical results.