Load Balancing In Cloud Computing

References

[1] PP Geethu Gopinath and Shriram K Vasudevan. An in-depth analysis and study ofloadbalancingtechniquesinthecloudcomput ingenvironment. ProcediaComputer Science, 50:427–432, 2015.

[2] Katoch, Swati, and J. Thakur. "Load Balancing Algoritms in Cloud Computing Environment: A Review", International Journal on Recent and Innovation Trends in Computing and Communication,Vol 2, Aug 2014.

[3] El-Gazzar, R. Fahim. "An Overview of Cloud Computing Adoption Challenges in the Norwegian Context." Utility and Cloud Computing (UCC), 2014

[4] Somani, Rajkumar, and J. Ojha. "A Hybrid Approach for VM Load Balancing in Cloud Using CloudSim." International Journal of Science, Engineering and Technology Research (IJSETR) 3.6 (2014): 1734-1739.

[5] Rajput, S. Singh, and V. S. Kushwah. "A Review on Various Load Balancing Algorithms in Cloud Computing." International Journal 6.4 (2016).

[6] More, S. R. Hiray. et al.,"Load balancing and resource monitoring in cloud." Proceedings of the CUBE International Information Technology Conference. ACM, 2012

[7] Gopinath, PP Geethu, and Shriram K. Vasudevan. "An in-depth analysis and study of Load balancing techniques in the cloud computing environment."Procedia Computer Science 50 (2015): 427-432

[8] Karuna G.Bakde, B .M. Patil , “Survey of techniques and challenges for load balancing in public cloud”, International Journal of Technical Research and Applications, e- ISSN: 2320-8163, Volume 4, Issue 2 (March- April, 2016), pp.279-290

[9] Raghava, N. S., and Deepti Singh. "Comparative study on load balancing techniques in cloud computing." Open Journal of Mobile Computing and Cloud Computing 1.1 (2014).

[10] 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.

@article{1700321,
      author = {Kanan Sharma, Ankita Jiyani},
      title = {Load Balancing In Cloud Computing},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {1},
      number = {9},
      pages = {134-138},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1700321.pdf},
      abstract = {Distributed computing is most recent developing innovation for expansive scale appropriated registering and parallel processing. Distributed computing gives extensive pool of shared assets, programming bundles, data, stockpiling and a wide range of utilizations according to client requests at any case of time. Distributed computing is rising rapidly; countless are pulled in towards cloud administrations for more fulfillment. Adjusting the heap has turned out to be additionally intriguing exploration zone in this field. Better load adjusting calculation in cloud framework expands the execution and assets usage by powerfully appropriating work stack among different hubs in the framework. This paper presents distributed computing, distributed computing design, virtualization, stack adjusting, challenges and different right now accessible load adjusting calculations.},
      keywords = {Cloud Virtualization, Architecture, Load Balancing.
},
      month = {March},
  }