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POISSON TRAFFIC PROCESSES IN PURE JUMP MARKOV PROCESSES AND GENERALIZED NETWORKS

POISSON TRAFFIC PROCESSES IN PURE JUMP MARKOV PROCESSES AND GENERALIZED NETWORKS
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摘要 In this paper, we present the conditions under which the traffic processes in a pure jump Markov process with a general state space are Poisson processes, and give a simple proof of PASTA type theorem in Melamed (1982) and Walrand (1988). Furthermore, we consider a generalized network with phase type negative arrivals and show that the network has a product-form invariant distribution and its traffic processes which represent the customers exiting from the network are Poisson processes. In this paper, we present the conditions under which the traffic processes in a pure jump Markov process with a general state space are Poisson processes, and give a simple proof of PASTA type theorem in Melamed (1982) and Walrand (1988). Furthermore, we consider a generalized network with phase type negative arrivals and show that the network has a product-form invariant distribution and its traffic processes which represent the customers exiting from the network are Poisson processes.
出处 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2001年第4期438-446,共9页 系统科学与复杂性学报(英文版)
基金 This research is supported by the National Natural Science Foundation of China.
关键词 Dual predictable PROJECTION NEGATIVE ARRIVAL ph-distribution GENERALIZED network traffic process. Dual predictable projection, negative arrival, ph-distribution, generalized network, traffic process.
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