Ajou University repository

Performance analysis of POX and Ryu with different SDN topologies
Citations

SCOPUS

0

Citation Export

DC Field Value Language
dc.contributor.authorAli, Jehad-
dc.contributor.authorLee, Seungwoon-
dc.contributor.authorRoh, Byeong Hee-
dc.date.issued2018-04-27-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36347-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85056532163&origin=inward-
dc.description.abstractThis paper deals with the performance comparison of two python-based Software Defined Network (SDN) controllers i.e. POX and Ryu under different network topologies such as Single, Linear, Tree, Dumbbell, Data Center Networks (DCN) and Software-Defined naval networks which use satellite communication systems (SATCOM) i.e. SDN-SAT [1]. Experimental results, validated through Mininet has clearly indicated that Ryu has superior performance i.e. A TCP throughput increase of 25.56%, 282.54%, 44.85%, 19.88%, 45.45% and latency decrease of 93.48%, 99.96%, 99.90%, 97.08%, 99.33% in single, linear, tree, dumbbell and DCN topologies respectively. Similarly, in SDN-SAT topology Ryu has 0.21% increase in TCP throughput and 34.62% decrease in latency as compared to POX controller.-
dc.language.isoeng-
dc.publisherAssociation for Computing Machinery-
dc.subject.meshData center networks-
dc.subject.meshMininet-
dc.subject.meshNetwork topology-
dc.subject.meshOpenflow-
dc.subject.meshPerformance analysis-
dc.subject.meshPerformance comparison-
dc.subject.meshTCP throughput-
dc.titlePerformance analysis of POX and Ryu with different SDN topologies-
dc.typeConference-
dc.citation.conferenceDate2018.4.27. ~ 2018.4.29.-
dc.citation.conferenceName2018 International Conference on Information Science and System, ICISS 2018-
dc.citation.editionProceedings of 2018 International Conference on Information Science and System, ICISS 2018-
dc.citation.endPage249-
dc.citation.startPage244-
dc.citation.titleACM International Conference Proceeding Series-
dc.identifier.bibliographicCitationACM International Conference Proceeding Series, pp.244-249-
dc.identifier.doi2-s2.0-85056532163-
dc.identifier.scopusid2-s2.0-85056532163-
dc.identifier.urlhttp://portal.acm.org/-
dc.subject.keywordOpenFlow-
dc.subject.keywordPOX-
dc.subject.keywordRyu-
dc.subject.keywordSDN-
dc.subject.keywordTopologies-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaSoftware-
dc.subject.subareaHuman-Computer Interaction-
dc.subject.subareaComputer Vision and Pattern Recognition-
dc.subject.subareaComputer Networks and Communications-
Show simple item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

ALI JEHAD Image
ALI JEHADJEHAD, ALI
Department of Software and Computer Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.