DocumentCode
1937321
Title
A Cloud Service Cache System Based on Memory Template of Virtual Machine
Author
Shi, Xuanhua ; Liu, Chao ; Wu, Song ; Jin, Hai ; Wu, Xiaoxin ; Deng, Li
Author_Institution
Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
22-23 Aug. 2011
Firstpage
168
Lastpage
173
Abstract
In data centers and cloud computing environments, the number of virtual machines (VMs) increases when the number of service requests increases. Since services are invoked on demand, the corresponding virtual machines will be created and shut down frequently. This makes the time of starting a virtual machine a crucial performance bottleneck for services in data centers. Besides, if virtual machines read image files from disks to start themselves, additional overhead to access disk will be generated. In this paper, we present a cloud service cache system based on memory template of virtual machines - VCache to improve the response time of cloud computing services, and to reduce the disk access overhead. This system can create and maintain service cache VMs through memory templates, which are snapshots of running virtual machines. By creating virtual machines from cached image files, the service running in these VMs can be deployed rapidly, which greatly reduces the launching time of the service and disk I/O load. We evaluate our system with experiments, and the experimental results show that the average time for creating a VM is reduced about 80% and the amount of data through disk access decreases more than 50%.
Keywords
cache storage; cloud computing; virtual machines; VCache; cloud computing; cloud service cache system; data centers; memory template; virtual machine; Cloning; Cloud computing; IP networks; Image restoration; Memory management; Random access memory; Virtual machining; cloud computing; memory template; virtual machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Chinagrid Conference (ChinaGrid), 2011 Sixth Annual
Conference_Location
Liaoning
Print_ISBN
978-1-4577-0885-5
Type
conf
DOI
10.1109/ChinaGrid.2011.20
Filename
6051773
Link To Document