Automatic Memory Control of Multiple VM using Real Time Task Oriented Task Scheduling Algorithm

Abstract

In this paper, to devise a system for automatic memory control based on the balloon driver in VMs. Researchers can download our toolkit. The project aims to optimize the running times of applications in consolidated environments by overbooking and/or balancing the memory pages of VMs. Unlike traditional methods, such as MEB system is lightweight and can be completely integrated into user space without interfering with VMM operation. In this project design a global-scheduling algorithm based on the dynamic baseline to determine the optimal allocation of memory globally. In this existing system evaluate optimized solution to memory allocation using real workloads (DaCapo and PTS) that run across VMs. The virtualization technique enables multiple virtual machines (VMs) to be placed on the same physical hosts and supports the live migration of VMs between physical hosts based on the performance requirements.