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Energy Efficient Cloud Computing

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 49))

Abstract

Cloud Computing is a developing technology which is revolutionizing the IT Infrastructure due to its high scalability and flexibility in providing the computing resources as services on demand. Cloud data centres are made up of large servers which consume a great amount of power which will in turn increase the operating costs and the environmental impact in terms of CO2 emissions. Hence, Cloud Computing solutions are extremely effective in terms of processing power and storage but are often criticized for the high amount of energy they require. Therefore, this paper will look at how to model the energy usage of a simple cloud solution, taking into consideration primarily the running of the hardware servers, from the idle to full utilization, as well as the transport of data between servers. An energy saving mechanism named DVFS is used in this paper in order to reduce the energy consumption. Cloudsim toolkit is used to create the cloud data centre and analyze the efficiency of DVFS mechanism.

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References

  1. Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Kon- winski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: Above the clouds: A Berkeley view of cloud computing. EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS- 2009-28, Feb 2009

    Google Scholar 

  2. Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J. Internet Serv Appl 1(1), 7–18 (2010)

    Article  Google Scholar 

  3. Buyya, R, Vecchiola, C., Selvi, S.T.: Mastering cloud computing: foundations and applications programming. Newnes, 2013

    Google Scholar 

  4. Calheiros, R.N., Ranjan, R., Beloglazov, A., De Rose, C.A., Buyya, R.: Cloudsim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Soft ware: Pract. Exp. 41(1), 23–50 (2011)

    Google Scholar 

  5. Buyya, R., Ranjan, R., Calheiros, R.N.: Modeling and simulation of scalable cloud computing environments and the cloudsim toolkit: challenges and opportunities. In: International Conference on High Performance Computing & Simulation, 2009 (HPCS’09), pp. 1–11. IEEE (2009)

    Google Scholar 

  6. Corradi, M.F., Foschini, L.: Increasing cloud power efficiency through consolidation techniques. In: IEEE Symposium on Computers and Communications (ISCC), pp. 129–134, June 2011

    Google Scholar 

  7. Pakbaznia, E., Ghasemazar, M., Pedram, M.: Temperature-aware dynamic resource provisioning in a power-optimized datacenter. In: Design, Automation Test in Europe Conference Exhibition (DATE), pp. 124–129, Mar 2010

    Google Scholar 

  8. Kliazovich, D., Bouvry, P., Audzevich, Y., Khan, S: Greencloud: a packet-level simulator of energy-aware cloud computing data centers. In: Global Telecommunications Conference (GLOBECOM 2010), pp. 1–5. IEEE, Dec 2010

    Google Scholar 

  9. Lee, L.-T., Liu, K.-Y., Huang, H.-Y., Tseng, C.-Y.: A dynamic re- source management with energy saving mechanism for supporting cloud computing. Int. J. Grid Distrib. Comput. 6(1), 67–76 (2013)

    Google Scholar 

  10. Calheiros, R.N., Buyya, R.: Energy-efficient scheduling of urgent bag-of-tasks applications in clouds through DVFS. In: IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 342–349. IEEE (2014)

    Google Scholar 

  11. Gurout, T., Monteil, T., Costa, G.D., Calheiros, R.N., Buyya, R., Alexandru, M.: Energy-aware simulation with DVFS. Simul. Model. Pract. Theory 39, 76–91 (2013)

    Article  Google Scholar 

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Correspondence to Subramaniyam Kannan .

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© 2016 Springer International Publishing Switzerland

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Kannan, S., Rajendran, S. (2016). Energy Efficient Cloud Computing. In: Vijayakumar, V., Neelanarayanan, V. (eds) Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’). Smart Innovation, Systems and Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-319-30348-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-30348-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30347-5

  • Online ISBN: 978-3-319-30348-2

  • eBook Packages: EngineeringEngineering (R0)

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