Energy Efficient Content Distribution

Energy Efficient Content Distribution

Taisir E.H. El-Gorashi (University of Leeds, UK), Ahmed Lawey (University of Leeds, UK), Xiaowen Dong (Huawei Technologies Co., Ltd, China) and Jaafar Elmirghani (University of Leeds, UK & King Abdulaziz University, Saudi Arabia)
Copyright: © 2014 |Pages: 31
DOI: 10.4018/978-1-4666-4522-6.ch016
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Abstract

In this chapter, the authors investigate the power consumption associated with content distribution networks. They study, through Mixed Integer Linear Programming (MILP) models and simulations, the optimization of data centre locations in a Client/Server (C/S) system over an IP over WDM network so as to minimize the network power consumption. The authors investigate the impact of the IP over WDM routing approach, traffic profile, and number of data centres. They also investigate how to replicate content of different popularity into multiple data centres and develop a novel routing algorithm, Energy-Delay Optimal Routing (EDOR), to minimize the power consumption of the network under replication while maintaining QoS. Furthermore, they investigate the energy efficiency of BitTorrent, the most popular Peer-to-Peer (P2P) content distribution application, and compare it to the C/S system. The authors develop an MILP model to minimize the power consumption of BitTorrent over IP over WDM networks while maintaining its performance. The model results reveal that peers co-location awareness helps reduce BitTorrent cross traffic and consequently reduces the power consumption at the network side. For a real time implementation, they develop a simple heuristic based on the model insights.
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Energy Efficient Content Distribution

Recently, energy efficient content distribution has been attracting increasing research efforts. In (Mandal et al., 2011) the authors studied the savings in power consumption for a content delivery network with a distributed hosting network over an optical network infrastructure. The results in (Jayasundara et al., 2011) provide insight into content placement strategies that improve energy efficiency. The authors in (Li, Liu, and Wu, 2013) have built a model to study energy efficient caching for Content-Centric Networking (CCN) architecture. In (Xu et al., 2010) the authors improved the energy efficiency in video CDN system based on the idea of intelligent coordination among edge video servers. In (Kantarci & Mouftah, 2012) the authors proposed an optimized provisioning models to guarantee minimum energy consumption of cloud services at the core network.

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