An Optimal Data Replication Techniques in Cloud for Performance and Security

  • Authors

    • Md Rafeeq
    • Dr C. Sunil Kumar
    • Dr N. Subhash Chandra
    • . .
    https://doi.org/10.14419/ijet.v7i3.27.19267
  • Distributed computing, information replication, vitality proficiency

  • Disseminated processing is a creating perspective that gives enlisting resources as an organization over a framework. Correspondence resources frequently transform into a bottleneck in advantage provisioning for some cloud applications. In this way, data replication, which brings data (e.g., databases) closer to data customers (e.g., cloud applications), is seen as a promising game plan. It grants constraining framework deferments and exchange speed utilize. In this paper we inspect data replication in disseminated figuring server ranches. Not at all like diverse procedures open in the composition, we consider both imperativeness viability and transmission limit use of the structure, despite the improved Nature of Administration (QoS) in light of the reduced correspondence delays. The appraisal occurs procured in the midst of expansive reenactments help to reveal execution and essentialness profitability tradeoffs and guide the arrangement of future data replication plans.

     

  • References

    1. [1] J. G. Koomey, “Worldwide electricity used in data centers,†Environmental Research Letters. vol. 3, no. 034008, September 2008.

      [2] J. G. Koomey, “Growth in Data center electricity uses 2005 to 2010,†Oakland, CA: Analytics Press, August 2011.

      [3] Ruay-Shiung Chang, Hui-Ping Chang, and Yun-Ting Wang, “A dynamic weighted data replication strategy in data grids,†IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) pp. 414-421, March 2008.

      [4] R. Brown, et al. “Report to congress on server and data center energy efficiency: public law 109-431,†Lawrence Berkeley National Laboratory, Berkeley, 2008.

      [5] Li Shang, Li-Shiuan Peh, and N. K. Jha, “Dynamic voltage scaling with links for power optimization of interconnection networks,†International Symposium on High-Performance Computer Architecture (HPCA), pp. 91-102, Feb. 2003.

      [6] D. Kliazovich, S. T. Arzo, F. Granelli, P. Bouvry, and S. U. Khan, “Accounting for Load Variation in Energy-Efficient Data Centers,†IEEE International Conference on Communications (ICC), Budapest, Hungary, 2013.

      [7] Shengquan Wang, Jun Liu, Jian-Jia Chen, and Xue Liu, “PowerSleep: A Smart Power-Saving Scheme With Sleep for Servers Under Response Time Constraint,†IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 1, no. 3, pp. 289-298, Sept. 2011.

      [8] T. Horvath, T. Abdelzaher, K. Skadron, and X. Liu, “Dynamic voltage scaling in multitier web servers with end-to-end delay control,†IEEE Transactions on Computers, vol. 56, no. 4, pp. 444–458, 2007.

      [9] M. Guzek, D. Kliazovich, and P. Bouvry, “A Holistic Model for Resource Representation in Virtualized Cloud Computing Data Centers,†IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Bristol, UK, 2013.

      [10] D. Kliazovich, J. E. Pecero, A. Tchernykh, P. Bouvry, S. U. Khan, and A. Y. Zomaya, “CA-DAG: Communication-Aware Directed Acyclic Graphs for Modeling Cloud Computing Applications,†IEEE International Conference on Cloud Computing (CLOUD), Santa Clara, CA, USA, 2013.


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  • How to Cite

    Rafeeq, M., C. Sunil Kumar, D., N. Subhash Chandra, D., & ., . (2018). An Optimal Data Replication Techniques in Cloud for Performance and Security. International Journal of Engineering & Technology, 7(3.27), 659-662. https://doi.org/10.14419/ijet.v7i3.27.19267