Link-renaming technique for efficiently increasing similarity among SDN entries

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Issue Date
2019
Authors
Almohaimeed, Abdulrahman
Asaduzzaman, Abu
Chidella, Kishore K.
Shahin, Firas
Advisor
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.

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