AN Effective Scheduling Approach for Profit Maximization in Hybrid Clouds

The economy of scale afford by cloud attracts a huge sum of industrial companies and organizations to deploy their applications in cloud data centers (CDCs) and to supply services to users. The main aim of the private cloud provider is to achieve profit maximization by scheduling tasks while ensure the service of delay bounded tasks. When the arrival of tasks are uncertain and aperiodic it make a big test for private CDC to schedule task cost effectively without outstripping their delay bounds. Unlike previous studies, this paper takes into account the cost minimization problem for private CDC in hybrid clouds. Previous works usually afford an admission control to intelligently deny some of arrival tasks. This will decrease the throughput of a private cloud, and cause revenue loss. Then, this paper proposes a temporal task scheduling algorithm (TTSA) to effectively dispatch all arriving tasks to private CDC and public clouds. By using TTSA, decreases the cost of private CDC by efficiently increase the throughput while meeting the delay bounds of all the tasks.