Workflow Scheduling using Improved Moth Swarm Optimization Algorithm in Cloud Computing
Michael Mahesh K
Abstract
Cloud computing is the advancing technology that aspires at providing services to customers with the available resources in the cloud environment. While the cloud server receives the multiple user requests, it is essential for the appropriate resources scheduling to accomplish appropriate customer fulfillment. Hence, this work exploits a developed Improved Moth Swarm Optimization (IMSO) method to carry out multi-objective task scheduling in the cloud environment. The developed method that schedules tasks based on a fitness parameter. The fitness parameter based upon the three most important constraints such as the Quality of Service (QoS), energy, and resources utilization. The developed approach schedules the task based on the three constraints like cost and task execution time in virtual machines is low. A competent task scheduling based upon the minimum fitness parameter. The comparative analysis exploiting the investigational setups shows that the developed model carries out fine while evaluated with the conventional techniques.