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.
Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
中文摘要
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.
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.
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