Dynamic Threshold-Based Dynamic Resource Allocation Using Multiple VM Migration for Cloud Computing Systems

As compared to traditional distributed computing systems, cloud computing systems are more reliable, dynamic, and scalable. In recent trend the challenge is managing the resources to maintain the scalability in dynamic environment. The need is to improve the performance of cloud computing systems by provisioning and allocation of on-demand resources to reduce the time. Some of the existing methods are based on static parameters such as CPU utilization threshold, resources, and workload that give less efficient results and there is lack in handling the over-provisioning and under-provisioning situations. In this paper we propose resource allocation model on the basis of dynamic parameters. The proposed method, dynamic threshold-based dynamic resource allocation can optimize the resource utilization and time. The proposed model is implemented on CloudSim and experimental results show the proposed model can improve resource utilization and time.