Independent Task Scheduling in Cloud Computing Environment using Modified Orca Optimizer.

Cloud computing (CC) has become a hot study area as a result of the rapid development and movement of many services to the cloud environment. In order to minimize makespan, the task scheduling mechanism must allocate tasks to appropriate and obtainable virtual machines (VMs). In this research, a modified Orca optimization algorithm (MOOA) and a task scheduling method for CC based on MOOA are presented. The simulation results showed that MOOA scheduler outperformed other state-of-the-art schedulers in terms of makespan. [ABSTRACT FROM AUTHOR]