Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/47099

TitleOptimizing segment routing using evolutionary computation
Author(s)Pereira, Vítor
Rocha, Miguel
Sousa, Pedro
KeywordsSegment Routing
Traffic Engineering
Link-State Routing
Evolutionary Computation
Issue date2017
PublisherElsevier
JournalProcedia Computer Science
CitationPereira, Vítor; Rocha, Miguel; Sousa, Pedro, Optimizing segment routing using evolutionary computation. Procedia Computer Science, 110, 312-319, 2017
Abstract(s)Segment Routing (SR) combines the simplicity of Link-State routing protocols with the flexibility of Multiprotocol Label Switching (MPLS). By decomposing forwarding paths into segments, identified by labels, SR improves Traffic Engineering (TE) and enables new solutions for the optimization of network resources utilization. This work proposes an Evolutionary Computation approach that enables Path Computation Element (PCE) or Software-defined Network (SDN) controllers to optimize label switching paths for congestion avoidance while using at the most three labels to configure each label switching path.
TypeConference paper
URIhttp://hdl.handle.net/1822/47099
DOI10.1016/j.procs.2017.06.100
ISSN1877-0509
Publisher versionhttps://www.journals.elsevier.com/procedia-computer-science
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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