Task Scheduling in Cloud Computing Based on FPA Metaheuristic Algorithm

In this paper, we propose to address the multi-objective task scheduling issue in cloud computing system in order to find the best assignment of the user-submitted tasks to the cloud resources provided by the cloud service providers. To achieve a high overall performance for computational cloud resources, a good scheduler algorithm is required to meet customer requirements and ensure efficient QoS. To this end, the Flower Pollination Algorithm metaheuristic has been used to orchestrate the trade-offs relationship between three end-user QoS-based criteria, namely reliability, time makespan and execution cost. The results obtained from the experiment conducted with the CloudSim simulator clearly show the interest of our approach based on FPA.