Task Offloading Decision Algorithm of Real-Time Application for Internet of Vehicles

doi:10.13190/j.jbupt.2017-256

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2018, Vol. 41 ›› Issue (4): 44-50.doi: 10.13190/j.jbupt.2017-256

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Task Offloading Decision Algorithm of Real-Time Application for Internet of Vehicles

PENG Wei-ping, SU Zhe, SONG Cheng, JIA Zong-pu

School of Computer Science and Technology, Henan Polytechnic University, Henan Jiaozuo 454000, China

Received:2017-12-20 Online:2018-08-28 Published:2018-10-09

Abstract

Abstract: In order to solve the problem of the timeliness of nodes processing tasks in the internet of vehicles, a new task offloading decision-making scheme is proposed based on the optimal node selection and task offloading theory. First of all, the task offloading model is built and a directional node distribution model is constructed. Furthermore, the node is pre-selected by using the optimal node selection algorithm. Finally, the task offloading decision is achieved by once or second task offloading pre-judgment mechanism. Compared with the traditional task offloading decision-making, the proposed solution takes less time, and the task Real-time is more higher. Simulation results verify the effectiveness of the proposed method.

Key words: internet of vehicles, pre-selected, second task offloading, offloading decision

CLC Number:

TN929.5

PENG Wei-ping, SU Zhe, SONG Cheng, JIA Zong-pu. Task Offloading Decision Algorithm of Real-Time Application for Internet of Vehicles[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(4): 44-50.

References

[1] 田辉, 范绍帅, 吕昕晨, 等. 面向5G需求的移动边缘计算[J]. 北京邮电大学学报, 2017, 40(2):1-10. Tian Hui, Fan Shaoshuai, Lü Xinchen, et al. Mobile edge computing for 5G requirements[J]. Journal of Beijing University of Posts and Telecommunications, 2017, 40(2):1-10.
[2] Wu H, Huang D, Bouzefrane S. Making offloading decisions resistant to network unavailability for mobile cloud collaboration[C]//International Conference Conference on Collaborative Computing:Networking, Applications and Worksharing.[S. l.]:IEEE, 2013:168-177.
[3] Kosta S, Aucinas A, Pan H, et al. Unleashing the power of mobile cloud computing using ThinkAir[EB/OL]. 2011. http://cn.arxiv.org/abs/1105.3232.
[4] Cuervo E, Balasubramanian A, Cho D K, et al. MAUI:making smartphones last longer with code offload[C]//International Conference on Mobile Systems, Applications, and Services.[S. l.]:DBLP, 2010:49-62.
[5] Zhao P, Tian H, Fan B. Partial critical path based greedy offloading in small cell cloud[C]//Vehicular Technology Conference.[S. l.]:IEEE, 2016:1-5.
[6] Kao Y H, Krishnamachari B, Ra M R, et al. Hermes:latency optimal task assignment for resource-constrained mobile computing[J]. IEEE Transactions on Mobile Computing, 2017, 16(11):3056-3069..
[7] Zhang W, Wen Y, Wu D O. Collaborative task execution in mobile cloud computing under a stochastic wireless channel[J]. IEEE Transactions on Wireless Communications, 2014, 14(1):81-93.
[8] 侯蓉晖, 郭素霞. 车联网场景中时延受限内容传输方案[J]. 北京邮电大学学报, 2017, 40(3):85-90. Hou Ronghui, Guo Suxia. Latency-constrained content dissemination scheme in vehicular networks[J]. Journal of Beijing University of Posts and Telecommunications, 2017, 40(3):85-90.
[9] Deng M, Tian H, Fan B. Fine-granularity based application offloading policy in cloud-enhanced small cell networks[C]//IEEE International Conference on Communications Workshops.[S. l.]:IEEE, 2016:638-643.
[10] Lü X, Tian H. Adaptive receding horizon offloading strategy under dynamic environment[J]. IEEE Communications Letters, 2016, 20(5):878-881.
[11] Tam H H M, Tuan H D, Ngo D T, et al. Joint load balancing and interference management for small-cell heterogeneous networks with limited backhaul capacity[J]. IEEE Transactions on Wireless Communications, 2017, 16(2):872-884.
[12] Katyal M, Mishra A. A comparative study of load balancing algorithms in cloud computing environment[J]. Computer Science, 2014, 6(1):25-36.

Task Offloading Decision Algorithm of Real-Time Application for Internet of Vehicles

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