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Tools for Design, Implementation and Verification of Emerging Information Technologies. 15th EAI International Conference, TridentCom 2020, Virtual Event, November 13, 2020, Proceedings

Research Article

Prototyping an SDN Control Framework for QoS Guarantees

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  • @INPROCEEDINGS{10.1007/978-3-030-77428-8_1,
        author={Mohamed Rahouti and Kaiqi Xiong and Yufeng Xin},
        title={Prototyping an SDN Control Framework for QoS Guarantees},
        proceedings={Tools for Design, Implementation and Verification of Emerging Information Technologies. 15th EAI International Conference, TridentCom 2020, Virtual Event, November 13, 2020, Proceedings},
        proceedings_a={TRIDENTCOM},
        year={2021},
        month={5},
        keywords={Software-Defined Networking OpenFlow Global environment for networking innovations Path selection Latency Queueing Quality of Service},
        doi={10.1007/978-3-030-77428-8_1}
    }
    
  • Mohamed Rahouti
    Kaiqi Xiong
    Yufeng Xin
    Year: 2021
    Prototyping an SDN Control Framework for QoS Guarantees
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-030-77428-8_1
Mohamed Rahouti1,*, Kaiqi Xiong2, Yufeng Xin3
  • 1: Fordham University, The Bronx
  • 2: University of South Florida, Tampa
  • 3: University of North Carolina, Chapel Hill
*Contact email: mrahouti@fordham.edu

Abstract

The centralized control capability of Software-Defined Networking (SDN) gives us an excellent opportunity to enhance the Quality of Service (QoS) routing. The end-to-end QoS-aware traffic forwarding must consider the computation latency associated with optimal path selection while reducing the controller’s response time. In this paper, we propose a new SDN controller framework that consists of a queueing mechanism, active link delay measurements, efficient statistic estimate of network states, and intelligent path computation and selection. We implement our framework as a modular application in a Floodlight SDN controller software and conduct comprehensive experimental studies on the Global Environment for Network Innovations (GENI) testbed. Our performance evaluation based on experimental results demonstrates that the proposed framework can significantly reduce the latency in both the control plane and data plane, and find optimal paths with the minimum end-to-end delay.

Keywords
Software-Defined Networking OpenFlow Global environment for networking innovations Path selection Latency Queueing Quality of Service
Published
2021-05-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-77428-8_1
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