软件定义网络中基于MCMF的可分割大流量调度解决方案

Haipei Sun, Liusheng Huang, Long Chen, Hongli Xu, Jianxin Wang
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摘要

软件定义网络(SDN)是一种新的网络模式,它将控制平面和数据平面分开。本文研究了两个基于SDN的高效大流量调度问题。首先给出了问题的定义,然后提出了两种基于最小化成本最大化流量模型的算法。一个用于静态模型,另一个用于动态模型。我们展示了如何确定未确定因素,然后如何使用这些因素来设计有效的算法。仿真结果验证了算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A solution of splittable large flow scheduling based on MCMF in software defined network
The Software Defined Network (SDN) is a new networking paradigm, which separates the control plane and data plane. In this paper, we study two efficient large flow scheduling problems using SDN. We firstly present problem definitions, then we propose two algorithms based on Minimize-Cost Maximize-Flow (MCMF) model. One is for static model and the other for dynamic model. We show how to determine the undetermined factors and then how to use those factors to design efficient algorithms. Simulation results demonstrates the effectiveness of our proposed algorithms.
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