Abstract
The discussion is based in the vicinity of load balance technique by using the artificial intelligence for cloud computing system. Cloud load balancing is a series of actions for distributing workloads to underutilized VMs for computing and sharing the resources in a more effective way for a cloud computing environment. The research is still finding for a more robust technique to distribute the workloads among the servers in this environment. The acceptable way of artificial neural network (ANN) model along with back propagation technique has been studied for an efficient proposed system. Objective of this article is for evaluation of load balancing algorithms in view of the proficiency of each virtual machine or VM, each of the requested task, and its interdependency on multiple jobs.
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Mishra, J.K. (2020). Artificial Intelligence-Based Load Balancing in Cloud Computing Environment: A Study. In: Peng, SL., Son, L.H., Suseendran, G., Balaganesh, D. (eds) Intelligent Computing and Innovation on Data Science. Lecture Notes in Networks and Systems, vol 118. Springer, Singapore. https://doi.org/10.1007/978-981-15-3284-9_23
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DOI: https://doi.org/10.1007/978-981-15-3284-9_23
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