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Reliability-Oriented Optimization of Computation Offloading for Cooperative Vehicle-Infrastructure Systems

机译:面向车辆协作基础设施系统的计算卸载的可靠性优化

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摘要

Computation offloading is critical for mobile applications that are sensitive to computational power, while dynamic and random nature of vehicular networks makes it challenging to guarantee the reliability of vehicular computation offloading. In this letter, we propose a reliability-oriented stochastic optimization model based on the dynamic programming for computation offloading in the presence of the deadline constraint on application execution. Specifically, a theoretical lower bound of the expected reliability of computation offloading is derived, and then an optimal data transmission scheduling mechanism is proposed to maximize the lower bound with consideration of randomness in vehicle-to-infrastructure communications. Experimental results demonstrate that our mechanism can outperform the conventional scheme and benefits vehicular computation offloading in terms of reliability performance in stochastic situations.
机译:对于对计算能力敏感的移动应用,计算分流至关重要,而车载网络的动态和随机性质使其难以保证车载计算分流的可靠性。在这封信中,我们提出了一个基于动态编程的面向可靠性的随机优化模型,用于在应用程序执行存在最后期限约束的情况下进行计算分流。具体来说,推导了计算卸载的预期可靠性的理论下限,然后提出了一种最佳的数据传输调度机制,以考虑车辆到基础设施通信中的随机性来最大化下限。实验结果表明,在随机情况下,我们的机制可以胜过传统方案,并在可靠性方面具有车载计算分流的优势。

著录项

  • 来源
    《IEEE signal processing letters》 |2019年第1期|104-108|共5页
  • 作者单位

    Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, China;

    Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, China;

    Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, China;

    Department of Engineering and Design, the University of Sussex, Richmond, U.K.;

    Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, School of Transportation Science and Engineering, Beihang University, Beijing, China;

    Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, B.C., Canada;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Signal to noise ratio; Optimization; Stochastic processes; Reliability theory; Computational modeling;

    机译:信噪比;优化;随机过程;可靠性理论;计算模型;

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