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A multiserver multiqueue network: modeling and performance analysis

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【Author】 Zhiguang Shan, Chuang Lin, and Yang YangDepartment of Computer Science and Technology, Tsinghua University, Beijing 100084, ChinaInformation Engineering School, University of Science and Technology Beijing, Beijing 100083, China

【摘要】 <正>A new category of system model, multiserver multiqueue network (MSMQN), is proposed for distributed systems such as the geographically distributed Web-server clusters. A MSMQN comprises multiple multiserver multiqueue (MSMQ) nodes distributed over the network, and every node consists of a number of servers that each contains multiple priority queues for waiting customers. An incoming request can be distributed to a waiting queue of any server in any node, according to the routing policy integrated by the node-selection policy at network-level, request-dispatching policy at node-level, and request-scheduling policy at server-level. The model is investigated using stochastic high-level Petri net (SHLPN) modeling and performance analysis techniques. The performance metrics concerned includes the delay time of requests in the MSMQ node and the response time perceived by the users. The numerical example shows the efficiency of the performance analysis technique.

【Abstract】 A new category of system model, multiserver multiqueue network (MSMQN), is proposed for distributed systems such as the geographically distributed Web-server clusters. A MSMQN comprises multiple multiserver multiqueue (MSMQ) nodes distributed over the network, and every node consists of a number of servers that each contains multiple priority queues for waiting customers. An incoming request can be distributed to a waiting queue of any server in any node, according to the routing policy integrated by the node-selection policy at network-level, request-dispatching policy at node-level, and request-scheduling policy at server-level. The model is investigated using stochastic high-level Petri net (SHLPN) modeling and performance analysis techniques. The performance metrics concerned includes the delay time of requests in the MSMQ node and the response time perceived by the users. The numerical example shows the efficiency of the performance analysis technique.

【基金】 [This work is financially supported by the National Natural Science Foundation of China (No. 90104002 and 60173012), the Projects of Development Plan of the State Key Fundamental Research (No. G1999032707) and the Projects of Development Plan of the Stat
  • 【文献出处】 Journal of University of Science and Technology Beijing(English Edition) ,北京科技大学学报(英文版) , 编辑部邮箱 ,2002年05期
  • 【分类号】TP393
  • 【下载频次】36
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