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dc.contributor.authorAlmohaimeed, Abdulrahman
dc.contributor.authorAsaduzzaman, Abu
dc.contributor.authorChidella, Kishore K.
dc.contributor.authorShahin, Firas
dc.date.accessioned2019-11-18T21:41:30Z
dc.date.available2019-11-18T21:41:30Z
dc.date.issued2019
dc.identifier.citationA. Almohaimeed, A. Asaduzzaman, K. K. Chidella and F. Shahin, "Link-Renaming Technique for Efficiently Increasing Similarity among SDN Entries," 2019 Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), Spokane, WA, USA, 2019, pp. 164-168en_US
dc.identifier.isbn978-172810786-8
dc.identifier.urihttps://doi.org/10.1109/ICIEV.2019.8858562
dc.identifier.urihttp://hdl.handle.net/10057/16817
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractSoftware-defined networking (SDN) is an evolved concept to network's architecture with a centralized form of network controlling. The centralized nature of SDN has raised concerns regarding the high demand for communication on a single controller, which requires high performance to operate the entire network. Some previous studies have addressed these concerns by utilizing the similarities among SDN entries. In this study, we propose a renaming technique for the communication links that aims to increase similarities among SDN entries in order to improve the results of the previously proposed techniques. This model aims to continuously analyze the traffic status and rename input and output ports in a way that positively impacts the content of the entries produced by the controller. According to our preliminary experiments, the proposed renaming technique has the potential to increase the similarities across SDN entries by up to 57% with the amount of incoming traffic of 17,000, which can eventually improve the results of the related techniques.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesJoint 8th International Conference on Informatics, Electronics & Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision & Pattern Recognition (icIVPR);2019
dc.subjectCommunication linksen_US
dc.subjectComputer networkingen_US
dc.subjectOpenFlowen_US
dc.subjectSDN entriesen_US
dc.subjectSoftware-Defined Networking (SDN)en_US
dc.titleLink-renaming technique for efficiently increasing similarity among SDN entriesen_US
dc.typeConference paperen_US
dc.rights.holder© 2019 IEEEen_US


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