Aneffective cloud parcelling in a load balancing model

  • Authors

    • Hemalatha D
    • Almas Begum
    2018-02-05
    https://doi.org/10.14419/ijet.v7i1.7.9578
  • , Cloud, Load Balancing, Main Controller, Balancer, Game Theory.

  • Load adjusting may be a standout amongst the vital issues for cloud registering. Since a large number for clients are gaining entrance to the cloud each moment, the idea of load adjusting need a critical sway on the execution about cloud registering. When nature will be thick, as substantial Furthermore complex, the divisions simplifies those load in the cloud. This paper executes two effective calculations for performing an exceptional load equalization model to the cloud surroundings in light of those cloud parceling particular idea for a switch component on decide diverse methodologies to diverse particular circumstances. Previously, load adjusting strategy, enhanced round robin method also diversion hypothesis strategy need aid connected with move forward those effectiveness done cloud.

  • References

    1. [1] Gaochao Xu, Junjie Pang, and Xiaodong Fu “A Load Balancing Model Based on Cloud Partitioning for the Public Cloud†TSINGHUA SCIENCE AND TECHNOLOGY ISSN 1007 - 0214 04 /12 pp 34-39 Volume 18, Number 1, February 2013.

      [2] S. Penmatsa and A. T. Chronopoulos, “Game-theoretic static load balancing for distributed systemsâ€, Journal of Parallel and Distributed Computing, vol. 71, no. 4,pp. 537-555, Apr. 2011. https://doi.org/10.1016/j.jpdc.2010.11.016.

      [3] D. Grosu, A. T. Chronopoulos, and M. Y. Leung, “Load balancing in distributed systems: An approach using Cooperative gamesâ€, in Proc. 16th IEEE Intl. Parallel and Distributed Processing Symp., Florida, USA, Apr. 2002,pp. 52-61. https://doi.org/10.1109/IPDPS.2002.1015536.

      [4] Hung-Chang Hsiao, Hsueh-Yi Chung, Haiying Shen, and Yu-Chang Chao, “Load Rebalancing for Distributed File Systems in Cloudsâ€, IEEE Journal on Parallel and Distributed Systems, Vol. 24, No. 5, May 2013.

      [5] Chun-Cheng Lin, Hui-Hsin Chin, and Der-Jiunn Deng, “Dynamic Multiservice Load Balancing in Cloud-Based Multimedia Systemâ€, IEEE Systems Journal, Vol. 8, No. 1, March 2014. https://doi.org/10.1109/JSYST.2013.2256320.

      [6] Ali M. Alakeel, “A Guide to Dynamic Load Balancing in Distributed Computer Systemsâ€, IJCSNS International Journal of Computer Science and Network Security, VOL.10 No.6, June 2010.

      [7] Amrik Singh and Lalit K. Awasthi, “Performance Comparisons and Scheduling of Load Balancing Strategy in Grid Computingâ€, IEEE Vol.978, No.1, pp. 4577-0240-2, November-2011.

      [8] M. Randles, D. Lamb, and A. Taleb-Bendiab, “A comparative study into distributed load balancing algorithms for cloud computingâ€, in Proc. IEEE 24th International Conference on Advanced Information Networking and Applications, Perth, Australia, 2010,pp. 551-556. https://doi.org/10.1109/WAINA.2010.85.

      [9] K. Nishant, P. Sharma, V. Krishna, C. Gupta, K. P. Singh,N. Nitin, and R. Rastogi, “Load balancing of nodes in cloud using ant colony optimizationâ€, in Proc. 14th International Conference on Computer Modelling and Simulation (UKSim), Cambridgeshire, United Kingdom,Mar. 2012, pp. 28-30. https://doi.org/10.1109/UKSim.2012.11.

      [10] Z. Chaczko, V. Mahadevan, S. Aslanzadeh, and C. Mcdermid, “Availability and load balancing in cloud computingâ€, presented at the 2011 International Conference on Computer and Software Modeling, Singapore, 2011.

      [11] Ajay Gulati and Ranjeev. K. Chopra, “Dynamic Round Robin for Load Balancing in a Cloud Computingâ€, IJCSMC, Vol. 2, Issue. 6, June 2013.

      [12] Soumya Ray and Ajanta De Sarkar, “Execution Analysis of Load Balancing Algorithms in Cloud Computing Environmentâ€, International Journal on Cloud Computing: Services and Architecture (IJCCSA), Vol.2, No.5, October 2012.

      [13] Abhijit A. Rajguru, S.S. Apte, “A Comparative Performance Analysis of Load Balancing Algorithms in Distributed System using Qualitative Parametersâ€, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-1, Issue-3, August 2012.

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  • How to Cite

    D, H., & Begum, A. (2018). Aneffective cloud parcelling in a load balancing model. International Journal of Engineering & Technology, 7(1.7), 75-78. https://doi.org/10.14419/ijet.v7i1.7.9578