In this paper we consider a queueing network consisting of two parallel servers and threearrival streams generated by independent Poisson sources. Each server has its own queue and receivescustomers from its own arriv...In this paper we consider a queueing network consisting of two parallel servers and threearrival streams generated by independent Poisson sources. Each server has its own queue and receivescustomers from its own arrival stream. A third arrival stream consists of customers which place resourcedemands on both servers, which are handled separately by each server once the request is made. Eachservice time is independent and exponentially distributed. Each customer in the system pays a holdingcost per unit time. The objective is to dynamically determine the optimal scheduling policy to the thirdstream of conupled customers. based on the state of the system, so as to minimize the average cost. Thismodel is new, and has Policy implications for computer or communication networks. A fuzzy approachis presented to solve this problem. Simulation shows that the approach is efficient and promising.展开更多
In her daily schedule,Ruth Lumbongo Mbambi,a senior research advocate in the Supreme Court of Zambia,often comes across cases of breach of contract,labor laws and even criminal matters involving Zambians and Chinese n...In her daily schedule,Ruth Lumbongo Mbambi,a senior research advocate in the Supreme Court of Zambia,often comes across cases of breach of contract,labor laws and even criminal matters involving Zambians and Chinese nationals.In another part of the world,Luo Dongchuan,展开更多
文摘In this paper we consider a queueing network consisting of two parallel servers and threearrival streams generated by independent Poisson sources. Each server has its own queue and receivescustomers from its own arrival stream. A third arrival stream consists of customers which place resourcedemands on both servers, which are handled separately by each server once the request is made. Eachservice time is independent and exponentially distributed. Each customer in the system pays a holdingcost per unit time. The objective is to dynamically determine the optimal scheduling policy to the thirdstream of conupled customers. based on the state of the system, so as to minimize the average cost. Thismodel is new, and has Policy implications for computer or communication networks. A fuzzy approachis presented to solve this problem. Simulation shows that the approach is efficient and promising.
文摘In her daily schedule,Ruth Lumbongo Mbambi,a senior research advocate in the Supreme Court of Zambia,often comes across cases of breach of contract,labor laws and even criminal matters involving Zambians and Chinese nationals.In another part of the world,Luo Dongchuan,
