Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies
DOI: 10.1109/infcom.2002.1019245
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Virtual-topology adaptation for WDM mesh networks under dynamic traffic

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Cited by 71 publications
(90 citation statements)
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“…The traffic intensities between node pairs is modeled for 24 hours, imitating several real network links as in [3]. While the traffic intensities gradually changes between node pairs, the lightpath loads are observed every 5 minutes.…”
Section: Numerical Examplesmentioning
confidence: 99%
“…The traffic intensities between node pairs is modeled for 24 hours, imitating several real network links as in [3]. While the traffic intensities gradually changes between node pairs, the lightpath loads are observed every 5 minutes.…”
Section: Numerical Examplesmentioning
confidence: 99%
“…However, in the last decade, the interest of the optical community has shifted to lightpath-based transparent optical networks [3], [8], [11]- [27]. Initial investigations on virtual topology reconfiguration consider solely the case of one-time adaptations.…”
Section: Related Workmentioning
confidence: 99%
“…Initial investigations on virtual topology reconfiguration consider solely the case of one-time adaptations. In such cases, a change in traffic is known and procedures adapt the existing VTD to this change, without considering periodic (multi-hour) traffic trends [8], [11]- [14]. In all these works, a common objective is to minimize the number of lightpath reconfigurations in the VTD so as to reduce disruptions in the traffic connections.…”
Section: Related Workmentioning
confidence: 99%
“…[26], [27], [7] and [29] treat the reconfiguration cost as the total number of lightpaths being added and removed during the reconfiguration. Though this simplistic model effectively compares the reconfiguration cost in migrating to two different virtual topologies, it fails to differentiate between the various possible reconfiguration schemes that can be used.…”
Section: Reconfiguration Costmentioning
confidence: 99%