Optimizing Rule Placement in Software-Defined Networks for Energy-aware Routing

Frédéric Giroire 1 Joanna Moulierac 1 T. Khoa Phan 1
1 COATI - Combinatorics, Optimization and Algorithms for Telecommunications
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
Abstract : Software-defined Networks (SDN), in particular OpenFlow, is a new networking paradigm enabling innovation through network programmability. Over past few years, many applications have been built using SDN such as server load balancing, virtual-machine migration, traffic engineering and access control. In this paper, we focus on using SDN as an approach for energy-aware routing (EAR). Since traffic load has a small influence on power consumption of routers, EAR allows to put unused links into sleep mode to save energy. SDN can collect traffic matrix and then computes routing solutions satisfying QoS while being minimal in energy consumption. However, prior works on EAR have assumed that the table of OpenFlow switch can hold an infinite number of rules. In practice, this assumption does not hold since the flow table is implemented in Ternary Content Addressable Memory (TCAM) which is expensive and power-hungry. In this paper, we propose an optimization method to minimize energy consumption for a backbone network while respecting capacity constraints on links and rule space constraints on routers. In details, we present an exact formulation using Integer Linear Program (ILP) and introduce efficient greedy heuristic algorithm for large networks. Based on simulations, we show that using this smart rule space allocation, it is possible to save almost as much power consumption as in the classical EAR approach.
Type de document :
[Research Report] RR-8537, INRIA. 2014, pp.23
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Soumis le : lundi 26 mai 2014 - 21:41:21
Dernière modification le : vendredi 30 novembre 2018 - 17:02:02
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Frédéric Giroire, Joanna Moulierac, T. Khoa Phan. Optimizing Rule Placement in Software-Defined Networks for Energy-aware Routing. [Research Report] RR-8537, INRIA. 2014, pp.23. 〈hal-00996780〉



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