Dynamic Load Balancing in Cloud Network Through Sunflower Optimization Algorithm and Sine–Cosine Algorithm

Abstract

AbstractThe objective of the paper is to scheduling of independent task dynamically among the virtual machines (VMs) in the cloud network on the share resources. Scheduling of task and allocating of the resources from the data center have been performed through the several meta-heuristic algorithms and achieved encouraging results. However, their performance evaluation is far based on the ideal state and needs more improvement. Load balancing in necessary when some VMs are executing more number of task and task need to wait in queue for processing at the same time other VMs are free and not allocated any task or less number of tasks for execution. The problem under consideration is proposed sunflower optimization algorithm with sine–cosine algorithm (SFOA-SCA) for improving the performance of load balancing in cloud network. The experimental result illustrates that the projected procedure is outstripping its opponent in the manner of throughput time, waiting time, response time, execution time, and utilization energy during load balance of task in cloud network.KeywordsVirtual machines (VMs)SFOA-SCAWaiting timeResponse timeExecution time