Particle Swarm Optimization-Enhanced Virtual Multicast Trees Embedding in SDNs

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dc.authorscopusid55364765800
dc.authorscopusid57200140766
dc.authorscopusid54393351700
dc.authorscopusid15834365300
dc.contributor.authorGuler E.
dc.contributor.authorAyaz F.
dc.contributor.authorKarakus M.
dc.contributor.authorHanbay D.
dc.date.accessioned2024-08-04T20:03:55Z
dc.date.available2024-08-04T20:03:55Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.descriptionIEEE Communications Societyen_US
dc.description2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023 -- 4 July 2023 through 7 July 2023 -- 194300en_US
dc.description.abstractThe truly innovative network virtualization technology allows for multi-tenancy, enabling different Virtual Network (VN) requests to share the same physical network. This is achievable because network services are no longer bound to the architecture of the lessor hardware. Virtual Network Embedding (VNE) is a multi-dimensional NP-Hard problem that maps VN entities such as virtual nodes and virtual links onto a shared Substrate Network (SN) while assuring the requested network resources (e.g., bandwidth, computing power, etc.). This research explores how to efficiently map VNs with one-to-many (multicast) interactions, in the form of Virtual Multicast Trees (VMTs), onto an SN in contrast to the VNE problem where one-to-one (unicast) communication is at focus. Thus, we propose a Virtual Multicast Tree Embedding (VMTE) enhanced by Particle Swarm Optimization framework, VMTE-PSO, to put VMTs on a shared SN. The VMTE-PSO aims to minimize the amount of network resource consumption (i.e., bandwidth) in the SN while simultaneously satisfying the computing demand of virtual nodes and minimizing the redundant substrate link usage. Extensive simulations reveal our algorithm outperforms the dynamic node ranking and traditional greedy-based VMTE approaches with respect to bandwidth consumption and redundant multicast transmission on NSFNET and USNET network topologies. © 2023 IEEE.en_US
dc.identifier.doi10.1109/BlackSeaCom58138.2023.10299780
dc.identifier.endpage270en_US
dc.identifier.isbn9798350337822
dc.identifier.scopus2-s2.0-85178997811en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage265en_US
dc.identifier.urihttps://doi.org/10.1109/BlackSeaCom58138.2023.10299780
dc.identifier.urihttps://hdl.handle.net/11616/92206
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEmbeddingen_US
dc.subjectMulticasten_US
dc.subjectNFVen_US
dc.subjectPSOen_US
dc.subjectSDNen_US
dc.titleParticle Swarm Optimization-Enhanced Virtual Multicast Trees Embedding in SDNsen_US
dc.typeConference Objecten_US

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