Abstract: As cloud computing has number of issues related to security, bandwidth efficiency, large information handling, load balancing, etc. Load balancing implies distribution of the workload to node or servers or assets with the goal that one can accomplish maximum utilization of resources, reduce execution time, increase system throughput and so on. This paper gives a concise study of cloud based service balancing methods proposed by different researchers. Here various features of service are detailed for the load balancing and planning. Different sorts of requirement of load balancing was additionally talked with their significance and limitations. So according to the module as well as steps used in techniques classification of load balancing algorithms are done with a comprehensive and comparative understanding of existing literature.
Keywords: Cloud Computing, Load balancing, Machine Learning, Soft Computing, Virtual machines
| DOI: 10.17148/IJARCCE.2019.8203