云南大学 信息学院,云南,昆明,650500
纸质出版:2019
移动端阅览
李波, 黄鑫, 牛力, 薛端, 白晨青. 车载边缘计算环境中的任务卸载决策和优化[J]. 微电子学与计算机, 2019, 36(2): 78-82.
LI Bo, HUANG Xin, NIU Li, et al. Task Offloading Decision in Vehicle Edge Computing Environment[J]. 2019, 36(2): 78-82.
车载云计算卸载存在高网络延迟、核心网负载严重等问题
本文提出了一种计算切换策略来降低车载边缘计算环境下的任务完成时间.基于Matlab R2016a平台对最小执行时间算法和最小完成时间算法进行了2组仿真实验
结果表明:通过本文提出的计算切换策略能改良任务卸载效率
缩短任务的完成时间.
Vehicle cloud computing offloading has high network latency and serious core network load. This paper proposes a handoff strategy to reduce the task completion time under the vehicle edge computing environment. Based on the Matlab 2016a platform
two sets of simulation experiments were performed. The results show that the handoff strategy proposed in this paper can improve the task offloading efficiency and shorten the task completion time.
Li B, Pei Y, Wu H, et al. Heuristics to Allocate High-Performance Cloudlets for Computation Offloading in Mobile ad hoc Clouds[J]. Journal of Supercomputing, 2015, 71(8):3009-3036. DOI: 3009
Hou X, Li Y, Chen M, et al.Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures[J].IEEE Transactions on Vehicular Technology, 2016, 65(6):3860-3873. DOI: 3860
李波, 薛端, 黄鑫.移动云计算中的网络切换管理[J].微电子学与计算机, 2018, 35(2):37-42. DOI: 37
Jiang Z, Mao S. Energy Delay Tradeoff in Cloud Offloading for Multi-Core Mobile Devices[J]. IEEE Access, 2017, 3:2306-2316. DOI: 2306
Bitam S, Mellouk A, Zeadally S. VANET-cloud: a Generic Cloud Computing Model for Vehicular Ad Hoc Networks[J]. IEEE Wireless Communications, 2015, 22(1):96-102. DOI: 96
Bernstein D. Containers and Cloud: From LXC to Docker to Kubernetes[J]. IEEE Cloud Computing, 2015, 1(3):81-84. DOI: 81
于冲, 赵海, 司帅宗, 等.车载网运动模型的复杂网络解析方法[J].电子学报, 2017, 45(6):1449-1455. DOI: 1449
0
浏览量
26
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010602201714号