title: Dynamic on-demand defragmentation in flexible bandwidth elastic optical networks.
abstract: While flexible bandwidth elastic optical networking is a promising direction for future networks, the spectral fragmentation problem in such a network inevitably raises the blocking probability and significantly degrades network performance. This paper addresses the spectral defragmentation problem using an auxiliary graph based approach, which transforms the problem into a matter of finding the maximum independent set (MIS) in the constructed auxiliary graph. The enabling technologies and defragmentation-capable node architectures, together with heuristic defragmentation algorithms are proposed and evaluated. Simulation results show that the proposed min-cost defragmentation algorithms can significantly reduce the blocking probability of incoming requests in a spectrally fragmented flexible bandwidth optical network, while substantially minimizing the number of disrupted connections.
authors.affiliation: Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA. yyin@ucdavis.edu
authors.forename: Yawei
authors.initials: Y
authors.lastname: Yin
authors.forename: Ke
authors.initials: K
authors.lastname: Wen
authors.forename: David J
authors.initials: DJ
authors.lastname: Geisler
authors.forename: Ruiting
authors.initials: R
authors.lastname: Liu
authors.forename: S J B
authors.initials: SJ
authors.lastname: Yoo
mesh_terms: D000465:Algorithms; D005336:Fiber Optic Technology / Q000295:instrumentation* / Q000379:methods*; D008490:Medical Informatics; D055100:Optical Fibers; D013685:Telecommunications / Q000295:instrumentation*