Efficient utilization of energy consumption in cloud environment

  • Authors

    • G Soniya Priyatharsini
    • N Malarvizhi
    2018-02-05
    https://doi.org/10.14419/ijet.v7i1.7.10649
  • Energy efficient, Power consumption, Green Cloud.

  • In the tremendous growth of the cloud computing, server consolidation plays a vital role. It gives more benefits also it gives the pollution towards the nature. Inspite of avoiding this, saving of energy in the data center or the cluster is more important. In this regard this paper proposes a method of which reduces the energy consumption. This is done by identifying the active physical machines and the remaining machines were kept in the sleep or off mode according to the user’s availability. Here Virtual Machines (VMs) are grouped under the particular types. Based on this type the customer’s resource request can be maintained.

  • References

    1. [1]. Osama Chaudary, Arfiya S Siddique, “Cloud computing application: its security issues and challenges faced during cloud forensics and investigationâ€, International journal of Advanced research in computer science, Volume 8, No 2 , March 2017.

      [2]. N. Vyas and A. Chauhan, “A survey on virtual machine migration technique in cloud computingâ€, International Journal of applications Innovation Engineering and management, Volume 5, 297-300. 2016

      [3]. L. Youseff,†Toward a unified ontology of cloud computingâ€, The proceedings of grid computing environments workshop, GCE, Volume 8, 2012.

      [4]. S.Y.Jing, S. Ali, K. She, Y. Zhong,†State of art research study for green cloud computingâ€, Journal of Supercomputing, pp 1-24. 2011.

      [5]. A. Beloglazov, R. Buyya, Y.C. Lee, A.Y. Zomaya,†A taxonomy and survey of energy efficient data centers and cloud computing systemsâ€, Advanced Computers, Volume 2, 82,pp 47-111, 2011.

      [6]. S. Srikantaiah, A. Kansal, F. Zhao,†Energy aware consolidation for cloud computingâ€, Proceedings of USENIX workshop on power aware computing and systems, HotPower, San Diego, CA:USENIX;2008, p 10-4, 2008.

      [7]. H. Lie, C. Xu,H. Jin, J. Gong, X. Liao,†Performance and energy modeling for live migration of virtual machinesâ€, the 20th international symposium on high performance distributed computing, pp: 171-182, 2011.

      [8]. Lee.Y.C, Zomaya.AY,†Energy efficient utilization of resources in cloud computing systemsâ€, Journal of supercomputers, Issue 60(2), pp 268-280,2012.

      [9]. A. Beloglazov, J.H. Abawajy, R. Buyya,†Energy aware resource allocation heuristics for energy efficient management of datacenters for cloud computingâ€. Future Gen Compute Systems, 28(5), 755-768, 2012.

      [10]. V. Mathew,R.K. Sitharaman, P.J. Shenoy,†Energy aware load balancing in content delivery networksâ€, Proceedings of IEEE INFOCOM, Orlonado, FL,IEEE, p 954-962, 2012.

      [11]. . M. Lin, A. Wierman, L.L.H. Andrew, E. Thereska,†Dynamic right-sizing for power propotional data centersâ€, proceedings of IEEE INFOCOM, Shanghai,China, IEEE:2011.p-1098-1106, 2011.

      [12]. G.B. Mertzios, M. Shalom, A. Voloshin, P.W.H Wong, S. ZAKS,†Optimizing busy time on parallel machinesâ€, Proceedings of IPDPS, Shanghai, China: IEEE 2012.p 238-248, 2012.

      [13]. Amit Agarwal and Jain saloni, “Efficient optimal energy efficient algorithm in cloud computing environmentâ€, International journal of computer trends and technology, Volume 9, PP 344-349, 2231-2803, 2016.

      [14]. Gurang patel, Metha, Rutvik and upoi upendra,†Enhanced load balancing min-min algorithmâ€, Elsevier B, V, Third international conference on recent trends in computing, PP 545- 553, 1877-0509, 2016.

      [15]. G.Soniya Priyatharsini, N.Malarvizhi, “Heuristic Method for cloud resource consolidation with ECRC Algorithmâ€, Journal of Engineering & Applied sciences, Volume 12(2) (2018) 6325-6331.

      [16]. D. Economou, S. Rivoire, C. Kozyrakis, P. Ranganathan,†Full system power analysis and modeling for server environmentsâ€, Standford University/HP Labs workshop on modeling, benchmarking, and simulation (MoBS), June 18 2016.

      [17]. A. Beloglazov, J. Abawajy, R. Buyya,†Energy aware resource allocation heuristics for efficient managements for datacenters for cloud computingâ€, Future Generation Computer systems, 28(5),755-768. 2017.

      Deepa Mehta, Indu kashyap, “Routing optimization in cloud networksâ€, International of advanced research in computer science, volume 8, No 2, March 2017

  • Downloads

  • How to Cite

    Soniya Priyatharsini, G., & Malarvizhi, N. (2018). Efficient utilization of energy consumption in cloud environment. International Journal of Engineering & Technology, 7(1.7), 189-193. https://doi.org/10.14419/ijet.v7i1.7.10649