xinghuanlai Associate Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

  

  • Education Level: PhD graduate

  • Professional Title: Associate Professor

  • Alma Mater: 英国诺丁汉大学

  • Supervisor of Doctorate Candidates

  • Supervisor of Master's Candidates

  • School/Department: 计算机与人工智能学院

  • Discipline:Communications and Information Systems
    Computer Science and Technology
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    Recommended Ph.D.Supervisor Recommended MA Supervisor
    Language: 中文

    Paper Publications

    Softwarized IP Multicast in the Cloud

    Impact Factor:10.294

    DOI number:10.1109/MNET.100.2100045

    Affiliation of Author(s):Southwest Jiaotong Univ, Sch Comp & Artificial Intelligence

    Journal:IEEE Network

    Key Words:IP networks,Cloud computing,Receivers,Unicast,Servers,Multicast algorithms,Containers

    Abstract:In this article, we revisit the problem of how to provide "native" IP multicast support to enterprise distributed applications in today's clouds, without touching either the application implementation or the underlying network hardware. We propose SDM, Software-Defined IP Multicast, to explore the idea of performing Multicast-to-Unicast (M2U) and Unicast-to-Multicast (U2M) translations at the virtualized network edge. At the data plane, with novel architecture designs, SDM achieves efficient M2U and U2M translations by only using Open vSwitch (OVS), an OpenFlow-compatible open-source software switch widely deployed in modern clouds. At the control plane, SDM dynamically adopts multicast trees respecting the join and leave of receivers with flexible cost-based algorithms. SDM is very easy to deploy and use, as its required features are already supported by off-the-shelf OVS software (version >= 2.3) and the OpenFlow protocol (version >= 1.1). Performance evaluations of its control-plane algorithms also imply that SDM is flexible to construct throughput and latency/height optimized multicast trees respecting task requirements.

    Co-author:Shouxi Luo,Huanlai Xing,Pingzhi Fan

    Document Code:10.1109/MNET.100.2100045

    Volume:35

    Issue:6

    Page Number:233-239

    ISSN No.:0890-8044

    Translation or Not:no

    Date of Publication:2021-12-29

    Included Journals:SCI

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