Title :
Classify virtualization strategy in cloud computing
Author :
Tingwei, Chen ; Shanjie, Zhou
Author_Institution :
Sch. of Inf. Sci. & Technol., Liaoning Univ., Shenyang, China
Abstract :
Through using the technology of virtualization, we can improve the efficiency of physical resources utilization. In cloud computing environment, when running I/O bound or processor bound tasks on the virtual machines that virtualized by a same physical machine, will reduce the utility of processor resource or I/O device resources. Further more, the situation of cache shared and resources conflict may influence two or more virtual machines that run on a same machine each other can aggravate the less utility of resources. To solve the problems, we have proposed a strategy of individual virtual machines with the type of the classified task. The classify strategy is base on analyzing the characters of the I/O bound and processor bound tasks. Using the strategy of classify can improve the utilization efficiency of physical resources, and make the virtual machines that run on the same machine, isolate each other.
Keywords :
cloud computing; input-output programs; pattern classification; resource allocation; virtual machines; virtualisation; I-O bound tasks; I-O device resources; classify virtualization strategy; cloud computing environment; physical resources utilization; processor bound tasks; processor resource utility reduction; virtual machines; virtualization technology; Cloud computing; Computer architecture; Hard disks; Nonvolatile memory; Resource management; Virtual machining; cloud computing; task classify; virtual machine;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295055