3 Review(s)

The task scheduling is deeply correlated with resources usage and processing expenses in cloud computing. These factors are well utilized by using several optimal task scheduling schemes to provide the best completion of tasks. An Elephant Herding Optimization based Task Scheduling (EHOTS) approach is implemented to provide optimal scheduling of users' tasks for improving the resource utilization by reducing processing expenses over cloud computing environment. The EHOTS is initiated to an objective function with multiple factors like load and processing. The MATLAB 2019a tool is used to perform the experiment and the simulation outputs have explained the better quality performance of EHOTS based on entire cost with minimum and maximum number of repetitions and number of tasks in opposition to GA, PSO and ALO approaches.