Dept. of Computer Eng., College of Comp. & Info. Sys., Umm AL Qura Univ., Makkah, Saudi Arabia.

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Abstract—Resource management and task scheduling are necessary for satisfying proper job (task) scheduling. Scheduling defines the process or methodology for data flows which are implemented to insure resource high utilization. One of the most used algorithms is shortest job first (SJF) in which deciding jobs order is queued to be processed, with cloud computing more than one virtual machine could be used. Distributed scheduling schemes need to be efficient for better performance. In this research, we proposed a new, efficient approach for allocating and scheduling users’ tasks in the cloud environment. The main goal is to enhance the performance metrics such as: 1-reducing the waiting time and 2- increasing the throughput of a given task set to have an efficient mapping of tasks using the same shortest job first (SJF) scheduling algorithm. The proposed policy is tested to conduct performance evaluation.

Index Terms—Cloud computing, quality of service, scheduling algorithm, SJF algorithm, throughput, waiting time.

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Cite: Abdellatif I. Moustafa, Reem M. Ganadily, Shahad Y. Alzahrani, Majid M. Alotaibi, "Subvention Scheme for the Cloud Computing Scheduling Algorithm," Journal of Computers vol. 14, no. 9, pp. 571-579, 2019.