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dc.contributor.authorPetridou, Sophia-
dc.contributor.authorSarigiannidis, Panagiotis-
dc.contributor.authorPapadimitriou, Georgios I.-
dc.contributor.authorPomportsis, Andreas S.-
dc.date.accessioned2020-01-09T11:11:44Z-
dc.date.available2020-01-09T11:11:44Z-
dc.date.issued2008-03-
dc.identifier10.1002/dac.929en_US
dc.identifier.issn1074-5351en_US
dc.identifier.urihttps://doi.org/10.1002/dac.929en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/581-
dc.description.abstractIn wavelength division multiplexing (WDM) star networks, the construction of the transmission schedule is a key issue, which essentially affects the network performance. Up to now, classic scheduling techniques consider the nodes' requests in a sequential service order. However, these approaches are static and do not take into account the individual traffic pattern of each node. Owing to this major drawback, they suffer from low performance, especially when operating under asymmetric traffic. In this paper, a new class of scheduling algorithms for WDM star networks, which is based on the use of clustering techniques, is introduced. According to the proposed Clustering‐Based Scheduling Algorithm (CBSA), the network's nodes are organized into clusters, based on the number of their requests per channel. Then, their transmission priority is defined beginning from the nodes belonging to clusters with higher demands and ending to the nodes of clusters with fewer requests. The main objective of the proposed scheme is to minimize the length of the schedule by rearranging the nodes' service order. Furthermore, the proposed CBSA scheme adopts a prediction mechanism to minimize the computational complexity of the scheduling algorithm. Extensive simulation results are presented, which clearly indicate that the proposed approach leads to a significantly higher throughput‐delay performance when compared with conventional scheduling algorithms. We believe that the proposed clustering‐based approach can be the base of a new generation of high‐performance scheduling algorithms for WDM star networks.en_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.sourceInternational Journal of Communication Systemsen_US
dc.subjectFRASCATI::Natural sciences::Computer and information sciencesen_US
dc.subject.otherWDM star networksen_US
dc.subject.otherClusteringen_US
dc.subject.otherPredictionen_US
dc.subject.otherSchedulingen_US
dc.titleClustering-based scheduling: A new class of scheduling algorithms for single-hop lightwave networksen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume21en_US
local.identifier.issue8en_US
local.identifier.firstpage863en_US
local.identifier.lastpage887en_US
local.identifier.eissn1099-1131en_US
Εμφανίζεται στις Συλλογές: Τμήμα Εφαρμοσμένης Πληροφορικής

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