Optimizing Multi Objective Based Dynamic Workflow Using ACO and Black Hole Algorithm in Cloud Computing
Archana N. Jethava, Megha R. Desai · 2019
In cloud computing environment many scheduling algorithm are available to provide task scheduling easy, scalable and make task execution fast. In this paper we deal with many scheduling algorithm and comparative study of this task scheduling algorithm. These task scheduling algorithms are used by many cloud service providers and various researchers for static and dynamic task scheduling of many applications. Task scheduling primarily focuses on efficient utilization of resource and reduce the task Compilation time. Many different techniques are used to solve this problem of task scheduling. Here we provide propose flow for optimizing multi objective based dynamic workflow using two scheduling algorithms Ant Colony Optimization and Black Hole Algorithm to reduce the makespan and total execution cost to the user. And try to evaluate the best scheduling result.