Dynamic pricing and resource allocation using revenue management for multiservice networks

被引：6

作者：

Department of Electrical and Electronic Engineering, Imperial College London, London SW7 2BT, United Kingdom ^{[1
]}

机构：

[1] Department of Electrical and Electronic Engineering, Imperial College London

来源：

IEEE Trans. Netw. Serv. Manage. | 2008年 / 4卷 / 215-226期

关键词：

Bandwidth; Bandwidth on demand; Data mining; Equations; Mathematical model; Pricing; Probability density function; QoS; Quality of service; Resource allocation; Revenue management;

D O I：

10.1109/TNSM.2009.041103

中图分类号：

学科分类号：

摘要：

In this paper we develop a novel multiple-classes-ofservice framework where offered prices and QoS are allowed to be actively modified by the provider, depending on the demand and the congestion of the system. We obtain a solution to the problem by using dynamic programming. These results are then extended to a network environment using a decomposition approach. The decomposition approach makes our solution scalable, since single-link solutions are used and minimal amount of information is explicitly exchanged. Assessments carried out for small networks show that the obtained income is improved between 2%-20% when compared to a static approach and to other approaches where only price or quality are allowed to be adaptive. © 2009 IEEE.

引用

页码：215 / 226

页数：11

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