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Fiber cost reduction and wavelength minimization in multifiber WDM networks

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dc.contributor.author Nomikos, C en
dc.contributor.author Pagourtzis, A en
dc.contributor.author Potika, K en
dc.contributor.author Zachos, S en
dc.date.accessioned 2014-03-01T01:20:31Z
dc.date.available 2014-03-01T01:20:31Z
dc.date.issued 2004 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/15941
dc.subject Approximate Algorithm en
dc.subject Cost Minimization en
dc.subject Cost Reduction en
dc.subject Network Pricing en
dc.subject Parallel Fiber en
dc.subject Routing and Wavelength Assignment en
dc.subject Satisfiability en
dc.subject Wdm Network en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other RING NETWORKS en
dc.title Fiber cost reduction and wavelength minimization in multifiber WDM networks en
heal.type journalArticle en
heal.identifier.primary 10.1007/978-3-540-24693-0_13 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-24693-0_13 en
heal.language English en
heal.publicationDate 2004 en
heal.abstract Motivated by the increasing importance of multifiber WDM networks we study two routing and wavelength assignment problems in such networks: - Fiber Cost Minimization: the number of wavelengths per fiber is given and we want to minimize the cost of fiber links that need to be reserved in order to satisfy a set of communication requests; we introduce a generalized setting where network pricing is non-uniform, that is the cost of hiring a fiber may differ from link to link. - Wavelength Minimization: the number of available parallel fibers on each link is given and we want to minimize the wavelengths per fiber that are needed in order to satisfy a set of communication requests. For each problem we consider two variations: undirected, which corresponds to full-duplex communication, and directed, which corresponds to one-way communication. Moreover, for rings we also study the problem in the case of pre-determined routing. We present exact or constant-ratio approximation algorithms for all the above variations in chain, ring, star and spider networks. © IFIP International Federation for Information Processing 2004. en
heal.publisher SPRINGER-VERLAG BERLIN en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
heal.bookName LECTURE NOTES IN COMPUTER SCIENCE en
dc.identifier.doi 10.1007/978-3-540-24693-0_13 en
dc.identifier.isi ISI:000221521000013 en
dc.identifier.volume 3042 en
dc.identifier.spage 150 en
dc.identifier.epage 161 en


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