TY - CHAP

T1 - A Sliding Mode Approach to Traffic Engineering in Computer Networks

AU - Movsichoff, Bernardo A.

AU - Lagoa, Constantino M.

AU - Che, Hao

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

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M3 - Chapter

AN - SCOPUS:84880011884

SN - 3540228195

SN - 9783540228196

T3 - Lecture Notes in Control and Information Sciences

SP - 111

EP - 136

BT - Advances in Communication Control Networks

A2 - Tarbouriech, Sophie

A2 - Abdallah, Chaouki

A2 - Chiasson, John

ER -