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An Optimal Weighted-Average Congestion Based Pricing Scheme for Enhanced QoS

  • Koteswara Rao Vemu
  • Shalabh Bhatnagar
  • N. Hemachandra
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4882)

Abstract

Pricing is an effective tool to control congestion and achieve quality of service (QoS) provisioning for multiple differentiated levels of service. In this paper, we consider the problem of pricing for congestion control in the case of a network of nodes under a single service class and multiple queues, and present a multi-layered pricing scheme. We propose an algorithm for finding the optimal state dependent price levels for individual queues, at each node. The pricing policy used depends on a weighted average queue length at each node. This helps in reducing frequent price variations and is in the spirit of the random early detection (RED) mechanism used in TCP/IP networks. We observe in our numerical results a considerable improvement in performance using our scheme over that of a recently proposed related scheme in terms of both throughput and delay performance. In particular, our approach exhibits a throughput improvement in the range of 34 to 69 percent in all cases studied (over all routes) over the above scheme.

Keywords

Queue Length Price Scheme Congestion Control Random Early Detection Incoming Customer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Koteswara Rao Vemu
    • 1
  • Shalabh Bhatnagar
    • 1
  • N. Hemachandra
    • 2
  1. 1.Indian Institute of Science,Bangalore 560012India
  2. 2.Indian Institute of Technology Bombay, Mumbai, 400076India

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