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Online Multicast Traffic Engineering for Software-Defined Networks

机译:用于软件定义网络的在线组播流量工程

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摘要

Previous research on SDN traffic engineering mostly focuses on statictraffic, whereas dynamic traffic, though more practical, has drawn much lessattention. Especially, online SDN multicast that supports IETF dynamic groupmembership (i.e., any user can join or leave at any time) has not beenexplored. Different from traditional shortest-path trees (SPT) and graphtheoretical Steiner trees (ST), which concentrate on routing one tree at anyinstant, online SDN multicast traffic engineering is more challenging becauseit needs to support dynamic group membership and optimize a sequence ofcorrelated trees without the knowledge of future join and leave, whereas thescalability of SDN due to limited TCAM is also crucial. In this paper,therefore, we formulate a new optimization problem, named Online Branch-awareSteiner Tree (OBST), to jointly consider the bandwidth consumption, SDNmulticast scalability, and rerouting overhead. We prove that OBST is NP-hardand does not have a $|D_{max}|^{1-epsilon}$-competitive algorithm for any$epsilon >0$, where $|D_{max}|$ is the largest group size at any time. Wedesign a $|D_{max}|$-competitive algorithm equipped with the notion of thebudget, the deposit, and Reference Tree to achieve the tightest bound. Thesimulations and implementation on real SDNs with YouTube traffic manifest thatthe total cost can be reduced by at least 25% compared with SPT and ST, and thecomputation time is small for massive SDN.
机译:以前关于SDN交通工程的研究大多专注于StaticTraffic,而动态流量虽然更加实用,但仍然牵引着大量效率。特别是,支持IETF动态组的在线SDN组播(即,任何用户可以随时加入或离开)尚未开发。与传统的最短路径树(SPT)和图形理论施蒂纳(ST)不同,它专注于在AnyInstant路由一棵树上,在线SDN组播流量工程更具挑战性,因为需要支持动态组成员资格,并在没有围绕的情况下优化一系列平整的树木知识未来加入和离开,而SDN由于TCAM有限的标准也至关重要。因此,在本文中,我们制定了一个新的优化问题,命名为在线分支 - 浮断树(有机),共同考虑带宽消耗,SDNMulticast可伸缩性和重新路由开销。我们证明了障碍是np- hardand没有$ | d_ {max} | d_ {max} | ^ {1- epsilon} $ - 任何$ epsilon> 0 $的竞争算法,其中$ | d_ {max} | $是最大的群体大小随时。 WeDesign A $ | D_ {MAX} | $-uppetive算法配备了TheBudget的概念,存款和参考树,以实现最紧密的界限。使用YouTube流量的真实SDNS上的同量和实现表明,与SPT和ST相比,总成本可以减少至少25%,并且对于大规模SDN来说,TheCupucation时间很小。

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