ACJS: An Access Control Job Scheduling in Cloud Computing

Abstract

With virtualization technology, cloud computing forms a large number of computing resources into resource pool, which provides virtualized and scalable services to different users dynamically. In the cloud computing environment, there are many job requests, tight deadlines and insufficient data center resources. In this paper, we have developed a return model, which can maximize the profit when supporting user QoS as full as possible. Based on the return model, we proposes a job scheduling strategy based on access control called ACJS, which can maximize the profits of cloud service providers by increasing the number of job requests. By using the penalty mechanism, this strategy can get the best profit in job scheduling process. We have used CloudSim to evaluate our system by simulation test and compared with MinResTime, NPAC. The results verify the effectiveness of the punishment mechanism and preemption strategy, that is, to increase the throughput of job requests and improve the profits of cloud service providers.