Traffic regulation with single- and dual-homed ISPs under a percentile-based pricing policy

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

2 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)247-273
Journal / PublicationJournal of Combinatorial Optimization
Volume17
Issue number3
Publication statusPublished - Apr 2009

Abstract

We investigate how a customer (an enterprise or a large organization), when facing a percentile-based pricing policy, can optimally balance the Internet access cost and the traffic buffering delay penalty by traffic regulation. The problem is referred to as the Optimal Traffic Regulation (OTR) problem. Solutions to various cases of the OTR problem are provided. For a customer with a single-homed ISP, we present optimal solutions to the OTR problem based on dynamic programming for the offline case with a known traffic demand pattern. A real-time traffic scheduling algorithm is proposed to deal with the online case where the traffic demands are different from a given demand pattern. We further extend the dynamic programming model to the case of dual-homed ISPs. Experimental results on the data from an Internet trace confirm the effectiveness of our solutions. © 2007 Springer Science+Business Media, LLC.

Research Area(s)

  • Internet service provider, Multi-homing, Network management, Optimization, Percentile-based pricing