A Quantitative Study on the Performance of Cloud Data Centre: Dynamic Maintenance Schedules with Effective Resource Provisioning Schema

The demand for cloud based resources has been increasing, catering to the need for enormous growth in Cloud data centers to serve its customers by providing different types of VMs and providing support too many business applications is always challenging. Cloud data center is the collection of physical resources, which provide services to its customers in a virtual manner. There is need for effective scheduling algorithms along with scheduling maintenance activity of the servers. To provide continuous and uninterrupted services to its customers, data centers is to be maintained properly by looking at the issues like scheduling the server’s resources to requests, queuing the requests to the servers and proper maintenance time allocated to each server. Devising the algorithm and implementing is done in algorithmic perspective with Open Nebula toolkit and the results are evaluated using the sunstone GUI server. To enable resources in Open Nebula toolkit, ruby scripts are coded with embedded C. Open Nebula CLI commands are used to check the performance of the proposed design.