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Load Balancing with the Help of Round Robin and Shortest Job First Scheduling Algorithm in Cloud Computing

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Proceedings of International Conference on Machine Intelligence and Data Science Applications

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

Load balancing in cloud computing assigning the all load over each node of a mutual or shared system to make resource usage effective and to perform the response time to the job. This has used Round Robin (RR) and shortest job first (SJF) algorithm. Scheduling is the main part of cloud computing and jobs or workflow scheduling under the platform as a service. The work under infrastructure as a service work to virtual machine scheduling which machine is decided by scheduler should go on which job or virtual machine. Simply RR is a time quantum-based preemptive algorithm, and SJF is a burst time-based non-preemptive and preemptive algorithm. But RR work in two-phase like expected finish time adapted for each process. Each process with generally minimum completion times scheduled. This algorithm result as no longer waiting for the smallest task.

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Correspondence to Ankur Dumka .

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Kumar, S., Dumka, A. (2021). Load Balancing with the Help of Round Robin and Shortest Job First Scheduling Algorithm in Cloud Computing. In: Prateek, M., Singh, T.P., Choudhury, T., Pandey, H.M., Gia Nhu, N. (eds) Proceedings of International Conference on Machine Intelligence and Data Science Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4087-9_19

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