Enhancing cost performance using Symbiotic Organism Search based algorithm in Cloud

In these last years, cloud computing is getting more and more popular due to the height development in telecommunication technologies. Which resulted the importance of the resource allocation topic in order to enhance the quality of service (QoS) given to the clients. However, provisioning of services at reasonable prices is the main challenge facing cloud computing today. This, led cloud providers to integrate a new scheduling techniques to overcome this issue. In this paper, we highlight in particular the problem of resource reservation cost. So that, we improve a metaheuristic approach based on Symbiotic Organism Search Algorithm (ISOS). It is a newly developed approach for solving numerical optimization problems. We specifically designed ISOS to minimize the cost of running tasks on virtual machines (VMs). Simulation results revealed that ISOS gave a better result compared to MAX-min, FCFS, PSO and MOGA methods.