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Author Aparicio-Pardo, R. ♦ Pavon-Marino, P. ♦ Skorin-Kapov, N. ♦ Garcia-Manrubia, B. ♦ Garcia-Haro, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Lagrangian functions ♦ Network topology ♦ Telecommunication traffic ♦ Optical fiber networks ♦ Circuit topology ♦ Wavelength routing ♦ Costs ♦ Wavelength division multiplexing ♦ Optical receivers ♦ Hospitals ♦ Tabu search ♦ virtual topology design ♦ network planning ♦ multi-hour traffic ♦ Lagrangian relaxation
Abstract Periodic reconfiguration of the virtual topology in transparent optical networks has been recently investigated as a mechanism to more efficiently adapt the network to predictable periodic traffic variations along the day or week. The scheduling of periodic reconfigurations should consider the trade-off between a lower network cost obtained through better resource allocation, and the undesired traffic disruptions that these reconfigurations may cause. This paper presents and compares two algorithms for planning virtual topology reconfiguration suitable for exploring this trade-off. The first is based on a Lagrangian relaxation of the planning problem, and the second is based on a Tabu Search meta-heuristic. The merits of both algorithms are compared.
Description Author affiliation: Technical University of Cartagena, (UPCT), Plaza del Hospital 1, 30202, Cartagena, Spain (Aparicio-Pardo, R.; Pavon-Marino, P.; Garcia-Manrubia, B.; Garcia-Haro, J.) || Faculty of Electrical Engineering and Computing (FER), University of Zagreb, Unska 3, Zagreb, Croatia (Skorin-Kapov, N.)
ISBN 9781424477999
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-06-27
Publisher Place Germany
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424477982
Size (in Bytes) 89.68 kB
Page Count 4
Starting Page 1
Ending Page 4

Source: IEEE Xplore Digital Library