Achieving efficient and fast update for multiple flows in software-defined networks

Yujie Liu, Yong Li, Yue Wang, A. Vasilakos, Jian Yuan
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引用次数: 9

Abstract

Aiming to adapt traffic dynamics, deal with network errors, perform planned maintenance, etc., flow update is carried out frequently in Software-Defined Networks (SDN) to change the data plane configuration, and how to update the flows efficiently and successfully is an important and challenging problem. In this work, we address the multi-flow update problem and present a polynomial-time heuristic algorithm, which aims at completing the update in the shortest time considering link bandwidth and flow table size constraints. By extensive simulations under real network settings, we demonstrate the effectiveness and efficiency of our algorithm, which has near-optimal performance and is hundreds of times faster than the optimal solution.
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实现软件定义网络中多个流的高效快速更新
为了适应流量动态、处理网络错误、进行计划性维护等,软件定义网络(SDN)经常进行流量更新以改变数据平面配置,如何高效、成功地更新流量是一个重要而具有挑战性的问题。在这项工作中,我们解决了多流更新问题,并提出了一个多项式时间启发式算法,旨在考虑链路带宽和流表大小的约束,在最短的时间内完成更新。通过在真实网络设置下的大量模拟,我们证明了算法的有效性和效率,该算法具有接近最优的性能,并且比最优解快数百倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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