Minimization of energy consumption in IP/SDN hybrid networks using genetic algorithms

J. Galán-Jiménez
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引用次数: 5

Abstract

Although most of the efforts to tackle the energy consumption problem on wired communication networks have been made on traditional IP networks, energy-aware protocols require of several coordination tasks that are not easy to implement on current networking equipment. By exploiting the flexibility and programmability provided by the emerging Software-Defined Networking (SDN) paradigm, this paper investigates the problem of saving energy in hybrid IP/SDN networks where traditional IP nodes are incrementally replaced by SDN ones. To solve it, a Genetic Algorithm is proposed and evaluated through simulations over realistic network topologies. Results show that a reduced percentage such as 60% of SDN nodes would be enough to achieve significant reductions in energy consumption during the transition from IP to SDN, with a performance gap less than 7.5% compared to fully-deployed SDN networks.
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利用遗传算法最小化IP/SDN混合网络的能量消耗
虽然解决有线通信网络能耗问题的大部分努力都是在传统的IP网络上进行的,但能量感知协议需要一些协调任务,这些任务在现有的网络设备上不易实现。通过利用新兴的软件定义网络(SDN)范式提供的灵活性和可编程性,本文研究了在传统IP节点逐渐被SDN节点取代的混合IP/SDN网络中的节能问题。为了解决这一问题,提出了一种遗传算法,并通过对实际网络拓扑的仿真进行了评估。结果表明,在从IP到SDN的过渡过程中,减少60%的SDN节点就足以显著降低能耗,与完全部署的SDN网络相比,性能差距不到7.5%。
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