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Service-list and path-allocation control for maximizing network profit in multiple service-classes networks

机译:服务列表和路径分配控制,可在多个服务类别的网络中最大化网络利润

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Future IP networks will be multi-service-class networks that provide multiple levels of quality of services (QoS). The network service provider (NSP) must manage network resources and multiple protocol label switching can be used to control logical path allocation. This paper proposes a scheme that maximizes NSP profit by controlling the service-list and path-allocation under the constraint of available network resources. We introduce a model in which the users' class choice from among the multiple classes is influenced not by the price and QoS of one class, but the prices and QoS levels of all classes, the service-list. To model the users' class choice, we adopt discrete choice analysis. We propose a functional framework that consists of user choice model function, original demand forecast function, and service-list and path-allocation determination function. We evaluate the effectiveness of the proposed method using a multiple service-class example.
机译:未来的IP网络将是提供多种级别的服务质量(QoS)的多服务类网络。网络服务提供商(NSP)必须管理网络资源,并且可以使用多个协议标签交换来控制逻辑路径分配。本文提出了一种在可用网络资源约束下通过控制服务列表和路径分配来最大化NSP利润的方案。我们引入了一种模型,其中多个类别中用户的类别选择不受一个类别的价格和QoS的影响,而是受所有类别(服务列表)的价格和QoS级别的影响。为了模拟用户的班级选择,我们采用离散选择分析。我们提出了一个功能框架,该框架由用户选择模型功能,原始需求预测功能以及服务列表和路径分配确定功能组成。我们使用多个服务类示例评估所提出方法的有效性。

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