Abstract
Energy efficiency has become crucial for the IT industry as evident by the exponential growth of the annual electricity consumption by networking devices which is estimated to be around one billion US dollars per year. This fact presents a strong case for reducing the energy consumed by networking devices such as hubs, access points, switches and routers. This paper rigorously analyses the power consumption of network links and proposes new techniques that can reduce the power consumption in modern computer networks using a new Adaptive Shutdown Rate (ASR) algorithm. Our results show significant improvements over existing techniques used for energy savings in computer networks.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Aruna Prem Bianzino, Claude Chaudet, Dario Rossi, Jean-Louis Rougier: Survey of green Networking Research. Telecom parishtech (2010)
D. Pamlin and K. Szomol´anyi: Saving the Climate @ the Speed of Light–First Roadmap for Reduced CO2 Emissions in the EU and Beyond. World Wildlife Fund and European Telecommunications Network Operators’ Association (2007)
S. Nanda and T.-C. Chiueh: A Survey on Virtualization Technologies.Tech. Rep. TR179, Department of Computer Science, SUNY at Stony Brook (2005)
S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall: Reducing Network Energy Consumption via Sleeping and Rate-Adaptation. In Proceedings of the 5th USENIX Symposium on Net worked Systems Design and Implementation (NDSI2008), (San Francisco,California, USA), (2008)
G. Da Costa, J.-P. Gelas, Y. Georgiou, L. Lefevre, A.-C. Orgerie, J.-M. Pierson, O. Richard, and K. Sharma: The GREEN-NET Framework: Energy Efficiency in Large Scale Distributed Systems. In Proceedings of the High Performance Power Aware Computing Workshop (HPPAC2009) in conjunction with IPDPS 2009, Rome, Italy (2009) 1–8
J. Chabarek, J. Sommers, P. Barford, C. Estan, D. Tsiang, and S. Wright: Power Awareness in Network Design and Routing. In Proceedings of the 27th IEEE Annual Conference on Computer Communications, INFOCOM 2008) (2008) 457–465
H. Hlavacs, G. Da Costa, and J.-M. Pierson: Energy Consumption of Residential and Professional Switches. In Proceedings of the IEEE International Conference on Computational Science and Engineering (CSE 2009), vol. 1, Vancouver, Canada (2009) 240–246
P. Mahadevan, P. Sharma, S. Banerjee, and P. Ranganathan: A Power Benchmarking Framework for Network Devices. In Proceedings of IFIP Networking 2009, Aachen, Germany (2009)
S. Albers: Energy-efficient algorithms. Communications of the ACM, 53 (5), 86–96 (2010)
M. Gupta and S. Singh: Greening of the Internet. In Proceedings of the ACM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM 2003), Karlsrhue, Germany (2003) 19 – 26
C. Gunaratne, K. Christensen, and B. Nordman: Managing energy consumption costs in desktop PCs and LAN switches with proxying, split TCP connections and scaling of link speed. International Journal of Network Management, (2005) 15(1) 297–310
C. Gunaratne, K. Christensen, and S. W. Suen, “Ethernet Adaptive Link Rate (ALR): Analysis of a buffer threshold policy”, in Proceedings of the IEEE Global Communications Conference, GLOBECOM, California, USA, (2006)
C. Gunaratne, K. Christensen, B. Nordman, and S. Suen, “Reducing the Energy Consumption of Ethernet with Adaptive Link Rate (ALR),” IEEE Transactions on Computers, (2008) 57 (1), 448–461
A. Wierman, L. L. H. Andrew, and A. Tang: Power-Aware Speed Scaling in Processor Sharing Systems. In Proceedings of the 28th Annual IEEE Conference on Computer Communications, INFOCOM 2009, Rio de Janeiro (2009)
Tucker et al: Energy Consumption in IP Networks, 34th European conference on optical communication (2008) 11- 16
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Watfa, M.K., Chehab, L.B., Balbahaith, Z.S. (2015). Network Energy Reduction via an Adaptive Shutdown Algorithm. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_61
Download citation
DOI: https://doi.org/10.1007/978-3-319-08422-0_61
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08421-3
Online ISBN: 978-3-319-08422-0
eBook Packages: EngineeringEngineering (R0)