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QoS-Aware Intelligent Routing For Software Defined Networking

Hossain, Md Billal
http://orcid.org/0000-0002-0155-748X
http://rave.ohiolink.edu/etdc/view?acc_num=akron1595086618729923

Abstract Details

2020, Master of Science in Engineering, University of Akron, Electrical Engineering.
This thesis proposes a reinforcement learning (RL) driven software-defined networking (SDN) routing scheme for the situation-awareness and intelligent networking management. Firstly, the existing SDN network monitoring technique is applied to track the quality of service (QoS) parameters (link delay and packet loss). Afterward, the QoS data are fed to the RL algorithm in order to achieve situation awareness in SDN routing. The performance of the proposed RL-enabled routing scheme is evaluated in the simulation section by considering various network scenarios, including network congestion. Finally, the end-to-end delay, the episode reward, and the probability of path selection are recorded for each case. According to the outcomes, the proposed scheme intelligently select the efficient data path according to the current state of the network. Moreover, the end-to-end delay is compared with the Dijkstra algorithm, demonstrating the superiority of RL-enabled dynamic routing strategy over static. Additionally, the scalability of the algorithm is tested with multiple controller SDN.
Jin Wei-Kocsis (Advisor)
Kye-Shin Lee (Committee Member)
Hamid Bahrami (Committee Member)
83 p.
Computer Engineering; Computer Science; Electrical Engineering
SDN routing, Intelligent Routing, Intelligent SDN routing, Machine Learning in SDN routing, Reinforcement Learning in SDN, QoS in SDN

Recommended Citations

Citations

  • Hossain, M. B. (2020). QoS-Aware Intelligent Routing For Software Defined Networking [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1595086618729923

    APA Style (7th edition)

  • Hossain, Md Billal. QoS-Aware Intelligent Routing For Software Defined Networking. 2020. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1595086618729923.

    MLA Style (8th edition)

  • Hossain, Md Billal. "QoS-Aware Intelligent Routing For Software Defined Networking." Master's thesis, University of Akron, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1595086618729923

    Chicago Manual of Style (17th edition)

akron1595086618729923
717
© 2020, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.