OFC 2003 Optical Fiber Communications Conference, 2003. 2003
DOI: 10.1109/ofc.2003.316142
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Availability optimization of static path-protected WDM networks

Abstract: We developed a heuristic procedure to optimize WDM networks with reliability as objective function. Optimization experiments have been carried out on a case study network, exploring the trade-off between network cost and reliability.

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Cited by 10 publications
(4 citation statements)
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“…One of the few examples in literature is [37], where availability is optimized when dealing with share path protection. However, the physical interconnection is a fixed input parameter and not the output result.…”
Section: Objective Functionmentioning
confidence: 99%
“…One of the few examples in literature is [37], where availability is optimized when dealing with share path protection. However, the physical interconnection is a fixed input parameter and not the output result.…”
Section: Objective Functionmentioning
confidence: 99%
“…Such a cycle could be found by nonliner programming, with a high computational complexity. We propose instead the following heuristic method [9]. Two known algorithms can be applied to find a cycle on a weighted graph: the "one-step" (or Bhandari [22]), finds the link-disjoint pair of paths having the minimum total weight ; the "two-step" (or repeated Dijkstra), assigns as working the least-unavailability path and as protection the second link-disjoint least-unavailability path .…”
Section: A Mcad-dedicated Path Protectionmentioning
confidence: 99%
“…Most of the recent works published in the area of OTN availability design covered only DPP [4]- [7], [9]. Some studies have been recently published to analyze availability in SPP scenario: authors in [10] and [11] investigate how setting a limit on the number of connections that share the same pool of backup resources can improve the average connection availability in the network, without causing a significant paying off in capacity requirements; [12] propose to use connection availability as a metric to provide differentiated protection service, recurring to different protection strategies, under a static traffic assignment; novel availability-aware strategies for dynamic traffic have been proposed in [13] and [14], where authors exploit availabilitybased metric to take on-the-fly routing decision.…”
Section: Introductionmentioning
confidence: 99%
“…The second is a subnetwork extracted from a realistic model of the topology of the Italian backbone fiber network presented in Ref. 22 Fig. 5b the number of fibers of the network optimized without taking the propagation constraint into account is also reported (the horizontal line): the constrained optimization requires on average 17% more fibers.…”
Section: Case-study Analysismentioning
confidence: 99%