Energy Efficiency of Data Centers

As the power consumption has a significant and continuously increasing part of the operational expenses of data centers, energy efficient data center networking has received special attention from the academic and industrial research community recently. The complex design of data centers provides several directions toward more energy efficiency, including the consumption of servers and network equipments. We address the issue of power consumption of data centers from a higher-level point of view by analyzing the energy efficiency of data center architectures. We review the state-of-the-art data center architectures including BCube, DCell, fat-tree, and Scafida and present evaluate their energy-efficiency quantitatively. In addition, the trade-off between the power consumption and the performance of the data center is investigated. Next, other aspects of data centers’ energy efficiency is revealed including thermal control techniques, energy management systems. Finally, a standard data center energy efficiency metric called PUE (Power Usage Effectiveness) is presented.

[1]  George Forman,et al.  Cool Job Allocation: Measuring the Power Savings of Placing Jobs at Cooling-Efficient Locations in the Data Center , 2007, USENIX Annual Technical Conference.

[2]  FengWu-chun,et al.  The Green500 List , 2007 .

[3]  Amin Vahdat,et al.  A scalable, commodity data center network architecture , 2008, SIGCOMM '08.

[4]  Vijay Mann,et al.  VMFlow: Leveraging VM Mobility to Reduce Network Power Costs in Data Centers , 2011, Networking.

[5]  Jeffrey S. Chase,et al.  Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers , 2005, USENIX Annual Technical Conference, General Track.

[6]  Lei Shi,et al.  Dcell: a scalable and fault-tolerant network structure for data centers , 2008, SIGCOMM '08.

[7]  Albert-László Barabási,et al.  Internet: Diameter of the World-Wide Web , 1999, Nature.

[8]  Haitao Wu,et al.  BCube: a high performance, server-centric network architecture for modular data centers , 2009, SIGCOMM '09.

[9]  Jeffrey S. Chase,et al.  Balance of power: dynamic thermal management for Internet data centers , 2005, IEEE Internet Computing.

[10]  Mingwei Xu,et al.  Energy-aware routing in data center network , 2010, Green Networking '10.

[11]  Laurent Massoulié,et al.  Greening the internet with nano data centers , 2009, CoNEXT '09.

[12]  Sanjay Ghemawat,et al.  MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.

[13]  Haitao Wu,et al.  MDCube: a high performance network structure for modular data center interconnection , 2009, CoNEXT '09.

[14]  Ramjee Prasad,et al.  Towards Green ICT , 2010 .

[15]  Jeffrey S. Chase,et al.  Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers , 2006, 2006 IEEE International Conference on Autonomic Computing.

[16]  László Gyarmati,et al.  Scafida: a scale-free network inspired data center architecture , 2010, CCRV.

[17]  J. Koomey Worldwide electricity used in data centers , 2008 .

[18]  Albert G. Greenberg,et al.  The cost of a cloud: research problems in data center networks , 2008, CCRV.

[19]  Albert G. Greenberg,et al.  VL2: a scalable and flexible data center network , 2009, SIGCOMM '09.

[20]  Amin Vahdat,et al.  PortLand: a scalable fault-tolerant layer 2 data center network fabric , 2009, SIGCOMM '09.

[21]  László Gyarmati,et al.  How can architecture help to reduce energy consumption in data center networking? , 2010, e-Energy.

[22]  Sujata Banerjee,et al.  ElasticTree: Saving Energy in Data Center Networks , 2010, NSDI.

[23]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[24]  Hong Liu,et al.  Energy proportional datacenter networks , 2010, ISCA.