TY - JOUR
T1 - Toward vehicle-assisted cloud computing for smartphones
AU - Zhang, Hongli
AU - Zhang, Qiang
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - 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.
AB - 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.
KW - Cloudlet
KW - Mobile cloud computing
KW - Task migration
KW - Vehicular cloud
UR - http://www.scopus.com/inward/record.url?scp=84959233324&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959233324&partnerID=8YFLogxK
U2 - 10.1109/TVT.2015.2480004
DO - 10.1109/TVT.2015.2480004
M3 - Article
AN - SCOPUS:84959233324
SN - 0018-9545
VL - 64
SP - 5610
EP - 5618
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 12
M1 - 7272124
ER -