Efficient cloud system for scientific communities

The main idea behind cloud system is to provide the unlimited resources. Existing DawningCloud is an efficient cloud system for scientific communities. It reduced the total resource consumption of cloud resource provider and cloud users. However, DawningCloud simply used First Come First Served (FCFS) scheduling Policy and did not investigate the effect of different scheduling techniques on them. Therefore, we are proposing a novel scheduling algorithm, "Priority Scheduling based on Users Activities (PS-UA)" to handle the large amount of requests on the existing DawningCloud system. The contribution of this paper is to compare the performance of the existing DawningCloud system with "First Come First Served (FCFS)", "Earlier Account Expire Prioritized with Round Robin (EAEP-RR)" and proposed "Priority Scheduling based on Users Activities (PS-UA)" scheduling algorithm. The conclusion of this paper is that existing DawningCloud with EAEP-RR algorithm gives better performance as compared to a FCFS scheduling algorithm. However, existing DawningCloud with proposed PS-UA scheduling algorithm provides less waiting time for resources as compared to FCFS and EAEP-RR. Therefore, we conclude that proposed PS-UA is more efficient than FCFS and EAEP-RR.