DYNAMIC RESOURCE ALLOCATION IN CLOUD USING QUEUING MODEL
Cloud computing system offers on-demand computing services to the users in a pay-per-use basis. The data center involves a large number of resources and it is highly scalable and flexible. As there is an enormous amount of users to access the data center, the resource allocation plays a significant role. In order to utilize the resources in an efficient manner, a resource allocation model is necessary to regulate the Virtual Machines (VMs) available in the data center. A scientific model utilizing E-M/M/1/K queue model based scheduling and allocation of resources is proposed. The E-M/M/1/K queue model ensures the quality of a cloud computing environment by considering the resources accessibility. This enhances the nature of service by increasing the throughput and minimizing the job execution time and waiting time to fulfill the necessities of clients. The resource allocation algorithm is developed, by considering some useful proprieties of queuing theory. Performance analysis results indicate that the proposed queuing model increases the utilization rate of global scheduler and yields high throughput and minimum waiting time.
VETHA S AND VIMALA DEVI K