DocumentCode
3606197
Title
Toward Vehicle-Assisted Cloud Computing for Smartphones
Author
Hongli Zhang ; Qiang Zhang ; Xiaojiang Du
Author_Institution
Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China
Volume
64
Issue
12
fYear
2015
Firstpage
5610
Lastpage
5618
Abstract
Mobile cloud computing is an emerging technology for facilitating complex application execution on smartphones. Cloud services are utilized not only to speed up the running of mobile applications but to save energy for smartphones as well. In this paper, we propose to combine the vehicular cloud with the infrastructure-based cloud to expand the current available resources for task requests from smartphones. In our proposed architecture, the vehicular cloud acts as a cloud service provider for smartphones. Moreover, we propose a flexible offloading strategy (FOS) to carry out task migration. The vehicular cloud is able to discover and utilize the underutilized resources in vehicles to accomplish application offloading for smartphones. The FOS estimates the efficiency of various cloud service providers based on current resource conditions and then selects the suitable cloud service provider to perform the requested task. Experimental results show that the proposed approach can improve the performance of mobile applications on smartphones in terms of task response time and energy consumption.
Keywords
cloud computing; energy conservation; energy consumption; mobile computing; smart phones; telecommunication power management; FOS; energy consumption; energy saving; flexible offloading strategy; infrastructure-based cloud computing; smartphone; task response time; vehicle-assisted cloud computing; Cloud computing; Connected vehicles; Data communication; Energy consumption; Mobile applications; Smart phones; Time factors; Cloudlet; Mobile cloud computing; Task migration; Vehicular cloud; mobile cloud computing; task migration; vehicular cloud;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2015.2480004
Filename
7272124
Link To Document