李波, 黄鑫, 薛端, 侯严严, 裴以建. 基于DTN的车载云计算卸载算法[J]. 云南大学学报(自然科学版), 2018, 40(2): 215-221. doi: 10.7540/j.ynu.20170357
引用本文: 李波, 黄鑫, 薛端, 侯严严, 裴以建. 基于DTN的车载云计算卸载算法[J]. 云南大学学报(自然科学版), 2018, 40(2): 215-221. doi: 10.7540/j.ynu.20170357
LI Bo, HUANG Xin, XUE Duan, HOU Yan-yan, PEI Yi-jian. DTN-based computation offloading algorithms for vehicular clouds[J]. Journal of Yunnan University: Natural Sciences Edition, 2018, 40(2): 215-221. DOI: 10.7540/j.ynu.20170357
Citation: LI Bo, HUANG Xin, XUE Duan, HOU Yan-yan, PEI Yi-jian. DTN-based computation offloading algorithms for vehicular clouds[J]. Journal of Yunnan University: Natural Sciences Edition, 2018, 40(2): 215-221. DOI: 10.7540/j.ynu.20170357

基于DTN的车载云计算卸载算法

DTN-based computation offloading algorithms for vehicular clouds

  • 摘要: 车载云计算卸载存在计算资源受限和网络通信中断等问题.提出了2种基于DTN的适用于时延容忍型应用的计算卸载算法:基于DTN的直接传递算法和基于DTN的泛洪算法.通过仿真实验对这2种算法和不采用DTN的直接传递算法的计算卸载性能进行了测试、分析和比较.结果表明基于DTN的计算卸载算法适用于网络拓扑结构不断变化的车载云计算环境,能够提高卸载任务的成功率,缩短任务完成时间.

     

    Abstract: There are some problems such as limitation of computing resources and interruptions of network connections in vehicular cloud computing environments.In this paper,two DTN-based computational offloading algorithms (i.e.,DTN-based direct transfer algorithm and DTN-based Flooding algorithm) were proposed for delay-tolerant applications in vehicular clouds.The performance of these two algorithms and the direct transfer algorithm without DTN was tested,analyzed and compared via simulation.The results show that the DTN algorithm is suitable for the on-board cloud computing environment,which can improve the success rate of unloading tasks and shorten the completion time.

     

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