Dynamic wavelength allocation in IP/WDM metro access networks

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buir.advisorKaraşan, Ezhan
dc.contributor.authorYetginer, Emre
dc.date.accessioned2016-01-08T18:05:32Z
dc.date.available2016-01-08T18:05:32Z
dc.date.issued2008
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Science of Bilkent University, 2008.en_US
dc.descriptionThesis (Ph.D.) -- Bilkent University, 2008.en_US
dc.descriptionIncludes bibliographical references leaves 132-139.en_US
dc.description.abstractIncreasing demand for bandwidth and proliferation of packet based traffic have been causing architectural changes in the communications infrastructure. In this evolution, metro networks face both the capacity and dynamic adaptability constraints. The increase in the access and backbone speeds result in high bandwidth requirements, whereas the popularity of wireless access and limited number of customers in metro area necessitates traffic adaptability. Traditional architecture which has been optimized for carrying circuit-switched connections, is far from meeting these requirements. Recently, several architectures have been proposed for future metro access networks. Nearly all of these solutions support dynamic allocation of bandwidth to follow fluctuations in the traffic demand. However, reconfiguration policies that can be used in this process have not been fully explored yet. In this thesis, dynamic wavelength allocation (DWA) policies for IP/WDM metro access networks with reconfiguration delays are considered. Reconfiguration actions incur a cost since a portion of the capacity becomes idle in the reconfiguration period due to the signalling latencies and tuning times of optical transceivers. Exact formulation of the DWA problem is developed as a Markov Decision Process (MDP) and a new cost function is proposed to attain both throughput efficiency and fairness. For larger problems, a heuristic approach based on first passage probabilities is developed. The performance of the method is evaluated under both stationary and non-stationary traffic conditions. The effects of relevant network and traffic parameters, such as delay and flow size are also discussed. Finally, performance bounds for the DWA methods are derived.en_US
dc.description.degreePh.D.en_US
dc.description.statementofresponsibilityYetginer, Emreen_US
dc.format.extentxvii, 139 leaves, tablesen_US
dc.identifier.urihttp://hdl.handle.net/11693/14706
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMetro Access Networksen_US
dc.subjectReconfiguration Delayen_US
dc.subjectMarkov Decision Processen_US
dc.subjectReconfigurationen_US
dc.subjectDynamic Wavelength Allocationen_US
dc.subjectIP over WDMen_US
dc.subject.lccTK5103.592.W38 Y48 2008en_US
dc.subject.lcshWavelength division multiplexing.en_US
dc.subject.lcshComputer networks.en_US
dc.subject.lcshOptical communşcation.en_US
dc.titleDynamic wavelength allocation in IP/WDM metro access networksen_US
dc.typeThesisen_US
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