Bees Life Algorithm for Job Scheduling in Cloud Computing

Cloud computing is known as digital service delivery over the Internet by several applications which are carried out by computer systems in distributed datacenters. It supplies a high performance computing based on protocols which allow shared computation and storage over long distances. In this paper, we present a new Bee Swarm optimization algorithm called Bees Life Algorithm (BLA) applied to efficiently schedule computation jobs among processing resources onto the cloud datacenters. It is considered as NP-Complete problem and it aims at spreading the workloads among the processing resources in an optimal fashion to reduce the total execution time of jobs and then, to improve the effectiveness of the whole cloud computing services. BLA has been inspired by bees’ life in nature represented in their most important behaviors which are reproduction and food source searching. In order to evaluate the effectiveness and the performance of this proposal, a set of experimental tests has been conducted. After comparison with genetic algorithm (GA) as conventional algorithm in this area, the reached results showed that BLA outperforms GA in terms of execution time (makespan) with the least complexity. Keywordscloud computing; job scheduling; bees life algorithm; genetic algorithm;