DocumentCode
609181
Title
A network-aware virtual machine placement algorithm in mobile cloud computing environment
Author
Decheng Chang ; Gaochao Xu ; Liang Hu ; Kun Yang
Author_Institution
Sch. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear
2013
fDate
7-10 April 2013
Firstpage
117
Lastpage
122
Abstract
By taking into consideration network features of a wireless mesh network environment where mobile cloud computing (MCC) system is deployed, this paper proposes an effective virtual machine (VM) placement algorithm. This algorithm tends to place a newly created VM for a cloud service to a cloud server, which itself is also a mobile device, that occurs lowest network delay when accessing to application data stored in wireline networks. The aim is to reduce cloud service response time as much as possible in order to deliver better quality of experience to cloud end users over more noisy and less robust wireless networks. In addition, the proposed deployment of cloud storage and cloud computational resources onto wireless networks is also a contribution of the paper. The simulation results have shown the effectiveness and the efficiency of the proposed VM placement algorithms both in terms of cloud service response time.
Keywords
cloud computing; mobile computing; quality of experience; virtual machines; wireless mesh networks; MCC system; VM placement algorithm; cloud computational resources; cloud end users; cloud service response time reduction; cloud storage; mobile cloud computing environment; network delay; network-aware virtual machine placement algorithm; quality-of-experience; robust wireless networks; wireless mesh network environment; wireline networks; Algorithm design and analysis; Cloud computing; Mobile communication; Mobile computing; Mobile handsets; Time factors; Wireless networks; mobile cloud computing (MCC); network-awareness; service response time; virtual machine placement; wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference Workshops (WCNCW), 2013 IEEE
Conference_Location
Shanghai
Print_ISBN
978-1-4799-0109-8
Electronic_ISBN
978-1-4799-0108-1
Type
conf
DOI
10.1109/WCNCW.2013.6533325
Filename
6533325
Link To Document