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A tight estimate of job completion time in vehicular clouds
IEEE Transactions on Cloud Computing ( IF 6.5 ) Pub Date : 2018-01-01 , DOI: 10.1109/tcc.2018.2834352 Ryan Florin , Puya Ghazizadeh , Aida Ghazi Zadeh , Ravi Mukkamala , Stephan Olariu
IEEE Transactions on Cloud Computing ( IF 6.5 ) Pub Date : 2018-01-01 , DOI: 10.1109/tcc.2018.2834352 Ryan Florin , Puya Ghazizadeh , Aida Ghazi Zadeh , Ravi Mukkamala , Stephan Olariu
Inspired by the success of conventional cloud services and by the reality of present-day vehicles endowed with powerful on-board computers that can act as servers in a datacenter, researchers have recently introduced the concept of a vehicular cloud. Our main contribution is to offer a tight theoretical analysis of the expected job completion time in vehicular clouds characterized by short vehicular residency times, under a redundancy-based job assignment strategy. We also discuss various approximations of the expected completion time. A comprehensive set of simulations have confirmed the accuracy of our theoretical predictions.
中文翻译:
车辆云中作业完成时间的严格估计
受传统云服务的成功以及当今车辆配备功能强大的车载计算机可充当数据中心服务器的现实的启发,研究人员最近引入了车载云的概念。我们的主要贡献是在基于冗余的工作分配策略下,对以车辆驻留时间短为特征的车辆云中的预期工作完成时间进行严格的理论分析。我们还讨论了预期完成时间的各种近似值。一组全面的模拟证实了我们理论预测的准确性。
更新日期:2018-01-01
中文翻译:
车辆云中作业完成时间的严格估计
受传统云服务的成功以及当今车辆配备功能强大的车载计算机可充当数据中心服务器的现实的启发,研究人员最近引入了车载云的概念。我们的主要贡献是在基于冗余的工作分配策略下,对以车辆驻留时间短为特征的车辆云中的预期工作完成时间进行严格的理论分析。我们还讨论了预期完成时间的各种近似值。一组全面的模拟证实了我们理论预测的准确性。