Software Defined Network Partitioning with Graph Partitioning Algorithms

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dc.authoridHassan, Suhaidi/0000-0002-5094-4929
dc.authoridHabbal, Adib/0000-0002-3939-2609
dc.contributor.authorArlimatti, Shivaleela
dc.contributor.authorElbrieki, Walid
dc.contributor.authorHassan, Suhaidi
dc.contributor.authorHabbal, Adib
dc.date.accessioned2024-09-29T15:50:51Z
dc.date.available2024-09-29T15:50:51Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description4th International Conference of Reliable Information and Communication Technology (IRICT) -- SEP 22-23, 2019 -- Johor, MALAYSIAen_US
dc.description.abstractSoftware Defined Networks is an emerging paradigm in Internet communication world that increases the flexibility of today's networks by decoupling control plane and data plane of the network devices. The fundamental aim is to centralize the control and reduce the complexity of the networks. The communication medium between control and data plane is through OpenFlow protocol, an open standard network protocol designed to manage the network traffic by software programs. To increase the scalability and flexibility of controllers the OpenFlow controllers are distributed based on location and network types. However, most critical issue is minimizing the communication cost between the controller domains. In this paper, two graph partitioning algorithms Fiduccia-Matthyses algorithm and Kernighan-Lin algorithm are used to minimize the communication cost between distributed OpenFlow controller domains. The implementation of the algorithms is under Matlab simulation environment. The methodology used for the proposed algorithms is to interchange the elements from one domain to other domain to calculate the gain. The simulated results show that Kernighan-Lin algorithm minimizes more communication cost rather than the Fiduccia-Matthyses algorithm.en_US
dc.description.sponsorshipUniv Teknologi Malaysia, Informat Engn Behav Informat Res Grp, Yemeni Scientists Res Grp,Taibah Univ, Coll Comp Sci & Engn, Data Sci Res Grp,Sch Sci & Technol,Charles Darwin Univ, Coll Engn, IT & Environm,Assoc Informat Syst Malaysia Chapteren_US
dc.identifier.doi10.1007/978-3-030-33582-3_54
dc.identifier.endpage593en_US
dc.identifier.isbn978-3-030-33582-3
dc.identifier.isbn978-3-030-33581-6
dc.identifier.issn2194-5357
dc.identifier.issn2194-5365
dc.identifier.scopus2-s2.0-85077771566en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage583en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-33582-3_54
dc.identifier.urihttps://hdl.handle.net/20.500.14619/3761
dc.identifier.volume1073en_US
dc.identifier.wosWOS:000583758100054en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartofEmerging Trends in Intelligent Computing and Informatics: Data Science, Intelligent Information Systems and Smart Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFiduccia-Matthysesen_US
dc.subjectKernighan-Linen_US
dc.subjectCommunication costen_US
dc.subjectOpenFlowen_US
dc.titleSoftware Defined Network Partitioning with Graph Partitioning Algorithmsen_US
dc.typeConference Objecten_US

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