Abstract
Energy management in large scale distributed systems has an important role to minimize the contribution of Information and Communication Technology (ICT) industry in global CO2 footprint and to decrease the energy cost. Content Distribution Networks (CDNs) are one of the popular large scale distributed systems, in which the client requests are forwarded towards servers and are fulfilled either by surrogate servers or by the origin server, depending upon the contents availability and the CDN redirection policy. In this paper we explore the energy consumption in CDNs using different client redirection policies. We propose a new model to measure energy consumption in the CDN surrogates. The surrogate servers’ utilization is used as a key criteria to measure the consumed energy. We show the impact of minimizing the number of surrogate servers on the energy consumption and on the other performance evaluation parameters in CDNs (e.g. servers utilization, mean response time, byte hit ratio). We also exhibit, how the energy consumption and the other performance evaluation parameters are affected by the change in the number of content requests, i.e. by the traffic load.
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References
Christensen, K.: Green networks: Opportunities and challenges. In: 34th IEEE Conference on Local Computer Networks, Zurich, p. 13 (2009)
SMART 2020 Report: Enabling the low carbon economy in the information age, http://www.smart2020.org
Gyarmati, L., Trinh, T.A.: How can architecture help to reduce energy consumption in data center networking? In: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking, Passau, pp. 183–186 (2010)
Qureshi, A., Weber, R., Balakrishnan, H., Guttag, J., Maggs, B.: Cutting the Electric Bill for Internet-Scale Systems. In: Proceedings of the ACM SIGCOMM 2009 Conference on Data Communication, pp. 123–134. ACM, Barcelona (2009)
Da Costa, G., Gelas, J.P., Georgiou, Y., Lefèvre, L., Orgerie, A.C., Pierson, J.M., Richard, O., Sharma, S.: The GREEN-NET framework: Energy efficiency in large scale distributed systems. In: IEEE International Symposium on Parallel & Distributed Processing, Rome, pp. 1–8 (2009)
Hlavacs, H., Costa, G., Pierson, J.M.: The GREEN-NET framework: Energy Consumption of Residential and Professional Switches. In: Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, Vancouver, BC, pp. 240–246 (2009)
Pallis, G., Vakali, A.: Insight and perspectives for content delivery networks. Communications of the ACM 49, 101–106 (2006)
Feldmann, A., Gladisch, A., Kind, M., Lange, C., Smaragdakis, G., Westphal, F.J.: Energy trade-offs among content delivery architectures. In: 9th Conference on Telecommunications Internet and Media Techno Economics, Ghent, pp. 1–6 (2010)
Rivoire, S., Ranganathan, P., Kozyrakis, C.: A comparison of high-level full-system power models. In: Proceedings of the 2008 Conference on Power Aware Computing and Systems, California, p. 3 (2008)
Berl, A., de Meer, H.: An energy consumption model for virtualized office environments. Journal of Future Gener. Comput. Syst. 27, 1047–1055 (2008)
Annapureddy, S., Freedman, M.J., Maziéres, D.: Shark: Scaling File Servers via Cooperative Caching. In: Proceedings of the 2nd USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI), pp. 129–142. IEEE, Boston (2005)
Vakali, A., Pallis, G.: Content Delivery Networks: Status and Trends. IEEE Internet Computing 7, 68–74 (2003)
Yu, H., Vahdat, A.: Minimal replication cost for availability. In: Proceedings of the Twenty-first Annual Symposium on Principles of Distributed Computing, Monterey, California, pp. 98–107 (2002)
Johnson, B., Zoi, C.: EPA Energy Star Computers: The Next Generation of Office Equipment. In: Proceedings of the American Council for an Energy Efficient Economy Summer Study on Energy Efficiency in Buildings (1992)
Gunaratne, C., Christensen, K.: Ethernet Adaptive Link Rate: System Design and Performance Evaluation. In: Proceedings of the 31st IEEE Conference on Local Computer Networks, Tampa, FL, pp. 28–35 (2006)
Gupta, M., Singh, S.: Greening of the Internet. In: Proceedings of the 2003 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, Karlsruhe, pp. 19–26 (2003)
Zhai, B., Blaauw, D., Sylvester, D., Flautner, K.: Theoretical and practical limits of dynamic voltage scaling. In: Proceedings of the 41st Annual Design Automation Conference, San Diego, CA, pp. 868–873 (2004)
Islam, S.U., Stamos, K., Pierson, J.-M., Vakali, A.: Utilization-Aware Redirection Policy in CDN: A Case for Energy Conservation. In: Kranzlmüller, D., Toja, A.M. (eds.) ICT-GLOW 2011. LNCS, vol. 6868, pp. 180–187. Springer, Heidelberg (2011)
Stamos, K., Pallis, G., Vakali, A., Katsaros, D., Sidiropoulos, A., Manolopoulos, Y.: CDNsim: A Simulation Tool for Content Distribution Networks. ACM Transactions on Modeling and Computer Simulation 20, 10:1–10:40 (2010)
Padmanabhan, V.N., Qiu, L.: The content and access dynamics of a busy Web site: findings and implications. SIGCOMM Comput. Commun. Rev. 30, 111–123 (2000)
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ul Islam, S., Pierson, JM. (2012). Evaluating Energy Consumption in CDN Servers. In: Auweter, A., KranzlmĂĽller, D., Tahamtan, A., Tjoa, A.M. (eds) ICT as Key Technology against Global Warming. ICT-GLOW 2012. Lecture Notes in Computer Science, vol 7453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32606-6_6
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DOI: https://doi.org/10.1007/978-3-642-32606-6_6
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