Abstract
In the era of continuous economic growth, application development strategies demand strong computing infrastructure that may inculcate a high cost in return to the firms. The solution of this cost problem is Cloud Computing which assures the on-demand delivery of computing resources. But every solution has hidden challenges, and this paper focuses on identifying the significant challenges in a cloud computing environment. One among them is distributing workloads across multiple computing resources. This paper addresses the fundamental difficulties of load-balancing in the cloud environment. Meanwhile, the paper further discusses the probable improvised techniques used to overcome cloud system problems. The gist of paper lies in solving the aforementioned problems by including a chain of logical analysis and generating the algorithm that leads to the appropriate solution. The prime focus is on job queue making strategy that appropriately allocates various jobs to CPUs on the basis of assigned priority or without priority. It also deals with some of the major problems of load-balancing in cloud environment like a timeout. To conclude, this paper exhibits how this approach partially fits into the notable AWS and GAE cloud architecture. This paper presents the various load-balancing problems in cloud computing environment and holds a clear intention to provide readers an overview of issues faced and also simulating further interest to pursue more advanced research in it.
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Srivastava, S., Sharma, V.K., Sharma, R., Singh, B.K., Singh, J.N., Choudhury, T. (2021). A Comprehensive Effectual Load-Balancing Method in Cloud Computing. In: Singh, J., Kumar, S., Choudhury, U. (eds) Innovations in Cyber Physical Systems. Lecture Notes in Electrical Engineering, vol 788. Springer, Singapore. https://doi.org/10.1007/978-981-16-4149-7_32
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