Dynamic memory Allocation using ballooning and virtualization in cloud computing

Abstract

Cloud computing has changed the way in which computer resources are used and shared. Once we register with cloud service provider we can access the software or hardware resources without the need to purchase our own product. Virtualization plays a vital role to maximize resource usage. In this paper, we define a system that dynamically release the unused memory pages and thereby can improve the performance of the overall system. We can maximize the memory usage when ballooning is used effectively with gray box analysis data. We can predict the memory needs by applying mathematical formula on working set samples. Once prediction is done, balloon list can be created to release the unused memory. Skewness algorithm is used to efficiently distribute load among the virtual machines.