Abstract
Cloud computing offers paid hosting and Internet services. It has now become a preferred method for scalable network communication and computing because of its many attractive features such as high availability, scalability, fault tolerance, management simplicity and low costs. Due to the strong demand for cloud computing, efficient load balancing is essential to ensure a uniform distribution of IT tasks on servers to avoid bottlenecks. The purpose of this evaluation document is to focus on existing issues of cloud computing, including balancing cloud loads through static algorithms and fetching gaps to create feasible and efficient static load balancing in cloud. We believe that the ideas presented as a new solution will enable researchers to redefine better algorithms for better features and better experiences in cloud systems. This can help businesses that cannot be affordable for an infrastructure that supports complex and load balancing algorithms.
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References
Rima, B.P., Choi, E., Lumb, I.: A taxonomy and survey of cloud computing systems. In: Proceedings of 5th IEEE International Joint Conference on INC, IMS and IDC, Seoul, Korea, pp. 44–5l (2009)
Alakeel, A.M.: a guide to dynamic load balancing in distributed computer systems. Int. J. Comput. Sci. Netw. Sec. (IJCSNS) 10(6), 153–160 (2010)
Shimonski, R.: Windows 2000 and windows server clustering and load balancing, Emeryville. McGraw-Hill Professional Publishing, CA, USA, pp. 2 (2003)
Kansal, N.J., Chana, I.: Existing load balancing techniques in cloud computing: a systematic review. J. Inf. Syst. Commun. 3(1), 87–91 (2012)
Tang, R., Zhu, X.: A load balancing strategy based on the combination of static and dynamic. In: 2010 2nd International Workshop Database Technology and Applications (DBTA), pp. 1–4 (2010)
Amar, M., Anurag, K., Rakesh, K., Rupesh, K., Prashant, Y.: SLA driven load balancing for web applications in cloud computing environment. Inf. Knowl. Manag. 1(1), 5–13 (2011)
Nae, V., Prodan, R., Fahringer, T.: Cost efficient hosting and load balancing of massively multiplayer online games. In: Proceedings of the 11th IEEE/ ACM International Conference on Grid Computing (Grid), IEEE Computer Society, pp. 9–17 (2010)
Hu, Gu, Sun, G., Zhao, T.: A scheduling strategy on load balancing of virtual machine resources in cloud computing environment. In: Third International Symposium on Parallel Architectures, Algorithms and Programming, pp. 89–96 (2010)
Sidhu, A.K., Kinger, S.: Analysis of load balancing techniques in cloud computing. Int. J. Comput. Technol. 4(2), 737–774 (2013)
Agarwal, A., Manisha, G., Milind, R.N., Shylaja, S.S.: A survey of cloud based load balancing techniques, vol. 13, pp. 3 (2014)
Desai, T., Prajapati, J.: A survey of various load balancing techniques and challenges in cloud computing. Int. J. Scientif. Technol. Res. 2(11), 158–161 (2013)
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Chaudhury, K.S., Pattnaik, S., Moharana, H.S., Pradhan, S. (2020). Static Load Balancing Algorithms in Cloud Computing: Challenges and Solutions. In: Reddy, V., Prasad, V., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2019. Advances in Intelligent Systems and Computing, vol 1118. Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_24
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DOI: https://doi.org/10.1007/978-981-15-2475-2_24
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