A scalable, commodity data center network architecture
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Dcell: a scalable and fault-tolerant network structure for data centers
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
The cost of a cloud: research problems in data center networks
ACM SIGCOMM Computer Communication Review
PortLand: a scalable fault-tolerant layer 2 data center network fabric
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
BCube: a high performance, server-centric network architecture for modular data centers
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Scafida: a scale-free network inspired data center architecture
ACM SIGCOMM Computer Communication Review
Future Generation Computer Systems
Power footprint of internet services
Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking
Merging traffic to save energy in the enterprise
Proceedings of the 2nd International Conference on Energy-Efficient Computing and Networking
Evaluating energy consumption in CDN servers
ICT-GLOW'12 Proceedings of the Second international conference on ICT as Key Technology against Global Warming
Greening data center networks with throughput-guaranteed power-aware routing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Review: A survey on architectures and energy efficiency in Data Center Networks
Computer Communications
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Reducing the power consumption of data centers has recently been received much attention from the research community and the industry alike. It is because the benefits are manifold: for the data centers themselves and towards the environment. A number of issues concerning with the consumption of the servers or the switches have been investigated. However, the energy requirement of the data center architecture has not yet been sufficiently addressed. In this paper, we address this issue and make two key contributions. Before delving into the details of possible solutions for reducing power of existing data center architectures, we first characterize the impact of architectural parameters on the power consumption of data centers by presenting preliminary results on the power consumption of state-of-the-art data center structures, namely BCube [8], DCell [9], and Fat-tree [1, 11, 7]. Secondly, based on the insights and lessons learnt from the analysis, we present our vision on possible practical solutions to reduce the energy usage of data center networking.