DocumentCode
1594777
Title
Key Technologies and Optimization for Dynamic Migration of Virtual Machines in Cloud Computing
Author
Yang Jing
Author_Institution
Sch. of Comput. & Commun., Hunan Univ. of Technol., Zhuzhou, China
fYear
2012
Firstpage
643
Lastpage
647
Abstract
Clouds computing, as the latest IT operating model in the Internet Age, is an innovative information system (IS) architecture. Virtualization technology, being the most effective solution to the resource management of cloud computing, excels in its virtual machine real-time migration technology. In order to reduce the migration downtime, Magician optimization migration framework is proposed, based on the analysis of the memory transfer in the real-time migration of current Xen virtual machine. Layered copy module and memory compression module are added to the operation migration module of the typical Xen virtual machine, while layered copy algorithm and memory compression algorithm are also proposed respectively. The test analysis shows that Magician optimizes the time and space complexity of realizing real-time transfer, thus to improve migration performance of the virtual machine.
Keywords
cloud computing; computational complexity; information systems; optimisation; virtual machines; virtualisation; Internet age; Magician optimization migration framework; Xen virtual machine; cloud computing; dynamic migration; innovative information system architecture; layered copy module; memory compression module; memory transfer; migration downtime reduction; space complexity; time complexity; virtual machine real-time migration technology; virtualization technology; Algorithm design and analysis; Cloud computing; Compression algorithms; Monitoring; Optimization; Real time systems; Virtual machining; Cloud Computing; Dynamic Migration of the Virtual Machine; Migration Framework; Optimization algorithm; Virtualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-1-4577-2120-5
Type
conf
DOI
10.1109/ISdea.2012.742
Filename
6173289
Link To Document