• Login
    View Item 
    •   Shocker Open Access Repository Home
    • Engineering
    • Electrical Engineering and Computer Science
    • EECS Faculty Scholarship
    • EECS Research Publications
    • View Item
    •   Shocker Open Access Repository Home
    • Engineering
    • Electrical Engineering and Computer Science
    • EECS Faculty Scholarship
    • EECS Research Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Link-renaming technique for efficiently increasing similarity among SDN entries

    Date
    2019
    Author
    Almohaimeed, Abdulrahman
    Asaduzzaman, Abu
    Chidella, Kishore K.
    Shahin, Firas
    Metadata
    Show full item record
    Citation
    A. 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. 164-168
    Abstract
    Software-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.
    Description
    Click on the DOI link to access the article (may not be free).
    URI
    https://doi.org/10.1109/ICIEV.2019.8858562
    http://hdl.handle.net/10057/16817
    Collections
    • EECS Research Publications

    Browse

    All of Shocker Open Access RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace software copyright © 2002-2022  DuraSpace
    DSpace Express is a service operated by 
    Atmire NV