A Comparative Study of Different Load Balancing Techniques

  • Authors

    • Jyoti Parashar
    • Dr. Avinash Sharma
    2018-10-04
    https://doi.org/10.14419/ijet.v7i4.12.20994
  • Cloud Computing, Load Balancing, Different Load Balancing algorithm
  • Abstract

    Cloud computing is a new technology used to manipulate, configure and can be used to access distributed computing applications in the network. It implements the load balancing approach which is used to distribute all of its workload to every node connected in the network. By using this technique resource utilization is done properly. It can also used to achieve user satisfaction and computing resources. If load balancing is used properly then it can efficiently and properly implement the fail-over, scalability, over- provisioning techniques. It can also minimize the resources used and avoid the bottleneck. In my research, review of different load balancing techniques, its usage, limitations, applications and various performance metrics are described..

     

     

  • References

    1. [1] Dasgupta, Kousik, et al. "A genetic algorithm (ga) based load balancing strategy for cloud computing." Procedia Technology10 (2013): 340-347.

      [2] Wen, Hui, et al. "Effective load balancing for cloud-based multimedia system." Electronic and mechanical engineering and information technology (EMEIT), 2011 international conference on.Vol. 1.IEEE, 2011.

      [3] Zhao, Yi, and Wenlong Huang. "Adaptive distributed load balancing algorithm based on live migration of virtual machines in cloud." INC, IMS and IDC, 2009.NCM'09.Fifth International Joint Conference on.IEEE, 2009.

      [4] Soni, Gulshan, and Mala Kalra. "A novel approach for load balancing in cloud data center." Advance Computing Conference (IACC), 2014 IEEE International.IEEE, 2014.

      [5] Bo, Zhang, GaoJi, and Ai Jieqing. "Cloud loading balance algorithm." Information Science and Engineering (ICISE), 2010 2nd International Conference on.IEEE, 2010.

      [6] Randles, Martin, David Lamb, and A. Taleb-Bendiab. "A comparative study into distributed load balancing algorithms for cloud computing." Advanced Information Networking and Applications Workshops (WAINA), 2010 IEEE 24th International Conference on.IEEE, 2010.

      [7] Zhao, Yi, and Wenlong Huang. "Adaptive distributed load balancing algorithm based on live migration of virtual machines in cloud." INC, IMS and IDC, 2009.NCM'09.Fifth International Joint Conference on.IEEE, 2009.

      [8] Al Nuaimi, Klaithem, et al. "A survey of load balancing in cloud computing: Challenges and algorithms." Network Cloud Computing and Applications (NCCA), 2012 Second Symposium on. IEEE, 2012.

      [9] Garg, Atul. "A Framework to Optimize Load Balancing to Improve the Performance of Distributed Systems." International Journal of Computer Applications 122.15 (2015).

      [10] Siar, Hajar, KouroshKiani, and Anthony T. Chronopoulos. "An effective game theoretic static load balancing applied to distributed computing." Cluster Computing 18.4 (2015): 1609-1623.

      [11]Beniwal, Payal, and AtulGarg. "Proposed Semi-Distributed Framework to Enhance Web Performance." International Journal of Computer Applications 141.12 (2016).

      [12] Pak, Ilchol, et al. "An efficient load balancing approach for n-hierarchical web server cluster." Wuhan University Journal of Natural Sciences 20.6 (2015): 537-542.

      [13] Tushar Desai and JigneshPrajapati.†A Survey Of Various Load Balancing Techniques And Challenges In Cloud Computing.â€International Journal Of Scientific & Technology Research, Volume 2, Issue 11, November 2013

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  • How to Cite

    Parashar, J., & Avinash Sharma, D. (2018). A Comparative Study of Different Load Balancing Techniques. International Journal of Engineering & Technology, 7(4.12), 63-68. https://doi.org/10.14419/ijet.v7i4.12.20994

    Received date: 2018-10-04

    Accepted date: 2018-10-04

    Published date: 2018-10-04