Shaogang Chen

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This paper studies the quality of service (QoS) provision problem in noncooperative networks where applications or users are selfish and routers implement generalized processor sharing (GPS)-based packet scheduling. First, we formulate a model of QoS provision in nonc~ operative networks where users are given the freedom to choose both the service classes(More)
—With the proliferation of high-speed networks and networked services, provisioning differentiated services to a diverse user base with heterogeneous QoS requirements has become an important problem. The traditional approach of resource reservation and admission control provides both guarantees and graded services, however, at the cost of potentially(More)
This paper presents an architecture for multi-class quality of service (QoS) provision in wide area networks. Users or applications are assumed to be sellsh and end-to-end QoS is determined by the service levels received by an application traac ow at each router or switch along a path. In previous work, we have given a comprehensive analysis of the(More)
This paper presents astudy of the quality of service provision problem in noncooperative network environments where applications or users are assumed to behave in a selfish way. Our contributions arc threefold. First, we formulate a model of QoS provision in noncooperative network environments and present a comprehensive game-theoretic analysis of its(More)
With the increased deployment and commercialization of networked services, provisioning differentiated services to a user or application base with diverse QoS requirements has become an important problem. The traditional approach of resource reservation and admission control provides both guarantees and graded services, however, at the cost of potentially(More)
The growth of mobile-payment system is skyrocketing at an astounding rate as a result of prevalence of Mobile payment apps such as Alipay, We Chat Payment, Lakala etc. 6 dominant factors in the growth of Mobile market are analyzed and a Modified Multiple Regression Model is proposed to find out the main cause of booming Mobile Payment market and to predict(More)
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