A Sliding Mode Approach to Traffic Engineering in Computer Networks

Bernardo A. Movsichoff, Constantino M. Lagoa, Hao Che

    Research output: Chapter in Book/Report/Conference proceedingChapter


    In this chapter, we address the problem of optimal Traffic Engineering (TE) in computer networks; i.e., determining an optimal traffic allocation in the presence of both multiple paths and multiple Classes of Service (CoSs). More precisely, we aim at designing data rate adaptation laws that maximize the utilization of the network resources (as measured by a given utility function) subject to link capacity constraints and call service requirements. This problem, as it is formulated here, is an "easy" problem; i.e., the problem of optimal traffic allocation can be stated as maximizing a concave function subject to linear constraints. Hence, if global information is available, one could use well-known algorithms, such as gradient descent, to determine the optimal traffic allocation.

    Original languageEnglish (US)
    Title of host publicationAdvances in Communication Control Networks
    EditorsSophie Tarbouriech, Chaouki Abdallah, John Chiasson
    Number of pages26
    StatePublished - Dec 1 2005

    Publication series

    NameLecture Notes in Control and Information Sciences
    ISSN (Print)0170-8643

    All Science Journal Classification (ASJC) codes

    • Library and Information Sciences


    Dive into the research topics of 'A Sliding Mode Approach to Traffic Engineering in Computer Networks'. Together they form a unique fingerprint.

    Cite this