Investigating the Tradeoffs between Power Consumption and Quality of Service in a Backbone Network

Energy saving in networks has traditionally focussed on reducing battery consumption through smart wireless network design. Recently, researchers have turned their attention to the energy cost and carbon emissions of the backbone network that both fixed and mobile communications depend on, proposing primarily mechanisms that turn equipments OFF or put them into deep sleep. This is an effective way of saving energy, provided that the nodes can return to working condition quickly, but it introduces increased delays and packet losses that directly affect the quality of communication experienced by the users. Here we investigate the associated tradeoffs between power consumption and quality of service in backbone networks that employ deep sleep energy savings. We examine these tradeoffs by conducting experiments on a real PC-based network topology, where nodes are put into deep sleep at random times and intervals, resulting in a continuously changing network with reduced total power consumption. The average power consumption, the packet loss and the average delay of this network are examined with respect to the average value of the ON rate and the ON/OFF cycle of the nodes.

[1]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[2]  Toktam Mahmoodi,et al.  Energy-aware routing in the Cognitive Packet Network , 2011, Perform. Evaluation.

[3]  Erol Gelenbe,et al.  Energy-Efficient Cloud Computing , 2010, Comput. J..

[4]  Erol Gelenbe,et al.  A Framework for Energy-Aware Routing in Packet Networks , 2011, Comput. J..

[5]  Erol Gelenbe,et al.  Reducing power consumption in wired networks , 2009, 2009 24th International Symposium on Computer and Information Sciences.

[6]  Georgia Sakellari,et al.  A survey of mathematical models, simulation approaches and testbeds used for research in cloud computing , 2013, Simul. Model. Pract. Theory.

[7]  Philippe Owezarski,et al.  On the impact of monitoring router energy consumption for greening the Internet , 2010, 2010 11th IEEE/ACM International Conference on Grid Computing.

[8]  Georgia Sakellari,et al.  The Cognitive Packet Network: A Survey , 2010, Comput. J..

[9]  Dejan Kostic,et al.  Energy-aware traffic engineering , 2010, e-Energy.

[10]  M. Mellia,et al.  How Much Can The Internet Be Greened? , 2009, 2009 IEEE Globecom Workshops.

[11]  Erol Gelenbe,et al.  Optimisation of Power Consumption in Wired Packet Networks , 2009, QSHINE.

[12]  John Domingue,et al.  The Future of the Internet , 1999, Academia Letters.

[13]  Dario Rossi,et al.  Energy-aware routing: A reality check , 2010, 2010 IEEE Globecom Workshops.

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

[15]  M. Mellia,et al.  Energy-Aware Backbone Networks: A Case Study , 2009, 2009 IEEE International Conference on Communications Workshops.

[16]  Marco Listanti,et al.  An Energy Saving Routing Algorithm for a Green OSPF Protocol , 2010, 2010 INFOCOM IEEE Conference on Computer Communications Workshops.

[17]  GelenbeErol Steps toward self-aware networks , 2009 .

[18]  Suresh Singh,et al.  Greening of the internet , 2003, SIGCOMM '03.

[19]  Erol Gelenbe,et al.  Steps toward self-aware networks , 2009, CACM.

[20]  B. Sanso,et al.  On reliability, performance and Internet power consumption , 2009, 2009 7th International Workshop on Design of Reliable Communication Networks.

[21]  Dario Rossi,et al.  A Survey of Green Networking Research , 2010, IEEE Communications Surveys & Tutorials.

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

[23]  Erol Gelenbe,et al.  Power-aware ad hoc cognitive packet networks , 2004, Ad Hoc Networks.

[24]  Jean-Louis Rougier,et al.  GRiDA: GReen Distributed Algorithm for energy-efficient IP backbone networks , 2012, Comput. Networks.

[25]  Erol Gelenbe,et al.  Using Energy Criteria to Admit Flows in a Wired Network , 2012, ISCIS.

[26]  Sujata Banerjee,et al.  A Power Benchmarking Framework for Network Devices , 2009, Networking.

[27]  Nick Feamster,et al.  Guidelines for interdomain traffic engineering , 2003, CCRV.

[28]  Didier Colle,et al.  Power consumption in telecommunication networks: overview and reduction strategies , 2011, IEEE Communications Magazine.

[29]  Stephen J. Wright,et al.  Power Awareness in Network Design and Routing , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[30]  Marco Mellia,et al.  Energy saving and network performance: a trade-off approach , 2010, e-Energy.