Traffic protection in MPLS networks using an off-line flow optimization model

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dc.contributor.authorKrzesinski A.E.
dc.contributor.authorMuller K.E.
dc.date.accessioned2011-05-15T16:00:23Z
dc.date.available2011-05-15T16:00:23Z
dc.date.issued2002
dc.description.abstractMPLS-based recovery is intended to effect rapid and complete restoration of traffic affected by a fault in an MPLS network. Two MPLS-based recovery models have been proposed: IP re-routing which establishes recovery paths on demand, and protection switching which works with pre-established recovery paths. IP re-routing is robust and frugal since no resources are pre-committed but is inherently slower than protection switching which is intended to offer high reliability to premium services where fault recovery takes place at the 100 ms time scale. We present a model of protection switching in MPLS networks. A variant of the flow deviation method is used to find and capacitate a set of optimal label switched paths. The traffic is routed over a set of working LSPs. Global repair is implemented by reserving a set of pre-established recovery LSPs. An analytic model is used to evaluate the MPLS-based recovery mechanisms in response to bi-directional link failures. A simulation model is used to evaluate the MPLS recovery cycle in terms of the time needed to restore the traffic after a uni-directional link failure. The models are applied to evaluate the effectiveness of protection switching in networks consisting of between 20 and 100 nodes.
dc.description.versionConference Paper
dc.identifier.citationProceedings of SPIE - The International Society for Optical Engineering
dc.identifier.citation4865
dc.identifier.issn0277786X
dc.identifier.other10.1117/12.473395
dc.identifier.urihttp://hdl.handle.net/10019.1/11670
dc.subjectMathematical models
dc.subjectNetwork protocols
dc.subjectRouters
dc.subjectSwitching
dc.subjectMultiple-protocol label switching (MPLS)
dc.subjectTelecommunication traffic
dc.titleTraffic protection in MPLS networks using an off-line flow optimization model
dc.typeConference Paper
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