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
Y1 - 2005
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 -