Dynamic energy management employing renewable energy sources in IP over DWDM networks

The continued growth of energy consumption has been one of the main constraints for the development of the Internet. The increasing emissions of greenhouse gases associated with electricity generation also raise public concern for the environment. In this paper, we propose a dynamic energy management framework employing renewable energy sources in IP over DWDM core networks. The main concept is to combine infrastructure sleeping and virtual router migration to improve the network energy efficiency. By using the energy source information provided by the smart grid, the nodes that are powered by a renewable energy source are selected, where possible, for hosting virtual routers during off-peak hours. Therefore, the energy consumption and CO2 emissions are both reduced. A heuristic algorithm based on a multi-objective evolutionary algorithm is proposed to select appropriate physical platforms to host the virtual routers.

[1]  Xiaoping Zheng,et al.  Energy efficient design for multi-shelf IP over WDM networks , 2011, 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[2]  Marco Mellia,et al.  Reducing Power Consumption in Backbone Networks , 2009, 2009 IEEE International Conference on Communications.

[3]  A. Kumar,et al.  Energy optimization in wireless communication network through renewable energy sources (RES) , 2012, 2012 IEEE 5th India International Conference on Power Electronics (IICPE).

[4]  Mohit Chamania,et al.  To switch on or off: A simple case study on energy efficiency in IP-over-WDM networks , 2011, 2011 IEEE 12th International Conference on High Performance Switching and Routing.

[5]  Sergiu Nedevschi,et al.  Reducing Network Energy Consumption via Sleeping and Rate-Adaptation , 2008, NSDI.

[6]  Xin Chen,et al.  An Evolutionary Based Dynamic Energy Management Framework for IP-over-DWDM Core Networks , 2013, EE-LSDS.

[7]  Srinivasan Seshan,et al.  RouterFarm: towards a dynamic, manageable network edge , 2006, INM '06.

[8]  Franco Davoli,et al.  Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures , 2011, IEEE Communications Surveys & Tutorials.

[9]  Marco Listanti,et al.  Enabling backbone networks to sleep , 2011, IEEE Network.

[10]  Xiaowen Dong,et al.  IP Over WDM Networks Employing Renewable Energy Sources , 2011, Journal of Lightwave Technology.

[11]  Andreas Gladisch,et al.  Energy consumption of telecommunication networks , 2009, 2009 35th European Conference on Optical Communication.

[12]  R. S. Tucker.  Energy consumption in telecommunications , 2012, 2012 Optical Interconnects Conference.

[13]  Steve Uhlig,et al.  Providing public intradomain traffic matrices to the research community , 2006, CCRV.

[14]  Xin Chen,et al.  Virtual router migration and infrastructure sleeping for energy management of IP over WDM networks , 2012, 2012 International Conference on Telecommunications and Multimedia (TEMU).

[15]  A Coiro,et al.  Reducing Power Consumption in Wavelength Routed Networks by Selective Switch Off of Optical Links , 2011, IEEE Journal of Selected Topics in Quantum Electronics.

[16]  Yi Wang,et al.  Virtual routers on the move: live router migration as a network-management primitive , 2008, SIGCOMM '08.