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

I. Yamasaki, R. Kawamura
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Abstract

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.
多业务类别网络中实现网络利润最大化的服务列表和路径分配控制
未来的IP网络将是提供多层次服务质量(QoS)的多业务级网络。网络服务提供商(NSP)必须管理网络资源,可以使用多协议标签交换来控制逻辑路径的分配。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实现NSP利润最大化的方案。我们引入了一个模型,在该模型中,用户从多个类别中选择的类别不受单个类别的价格和QoS的影响,而是受所有类别的价格和QoS水平,即服务列表的影响。为了对用户的类别选择建模,我们采用了离散选择分析。我们提出了一个由用户选择模型函数、原始需求预测函数、服务列表和路径分配确定函数组成的功能框架。我们使用一个多服务类示例来评估所提出方法的有效性。
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