MONITORING, INTROSPECTING AND PERFORMANCE EVALUATION OF SERVER VIRTUALIZATION IN CLOUD ENVIRONMENT USING FEED BACK CONTROL SYSTEM DESIGN

Data centers of today are rapidly moving towards the use of server virtualization as a preferred way of sharing a pool of server hardware resources between multiple 'guest domains' that host different applications. The main contribution of our work is the design and implementation of a controller that optimizes the performance of applications running on guest domains. We focus on a scenario where a specific target for the response time of an application may not be provided. The goal is to dynamically compute the CPU shares for the virtual machines in such a way that the application throughput should be maximized, while keeping the response time as low as possible, with the minimum possible allocation of CPU share for the guest domain. The performance evaluation results show that the controller brings the cap value close to the expected optimal value. The optimizing controller also rapidly responds to changes in the system when a disturbance task is introduced or load on the application is changed.