Analysis on Optimal Resource Management Strategies: A Virtual Machine Migration Perspective

To save energy, reduce resource usage, and ensure cloud data center quality of service (QoS), virtual machine migration has become a key requirement with the rapid expansion of cloud environments. Dynamic migration of virtual machines is a successful way to meet growing demand for resources such as processing, connectivity, and storage. This proposal examines the design of control algorithms and their performance models used for migration within a local area network (LAN) or within a data center. The existing methods are investigated to accommodate large numbers of cloud users, improve computing infrastructure, and reduce time and energy spent in cloud data centers. User mobility helps reduce network overhead during VM migration. A key element of this proposal will show you how to optimize data deduplication and peer-to-peer (P2P) file sharing to help further improve the efficiency of data migration for VM storage.