This paper considers a computing resource management problem in the context of intelligent transport systems (ITSs). An operator’s expense minimization problem subject to delay constraints that include transmission and computational delays is formulated. To solve the problem, an algorithm based on a method of reducing the problem to an integer linear programming problem is proposed. The simulation results show that the proposed algorithm significantly reduces an operator’s expenses compared to existing approaches while satisfying the strict delay requirements of various applications.

中文翻译：

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智能交通系统中计算资源管理的成本优化

本文考虑了智能运输系统（ITS）上下文中的计算资源管理问题。制定了受制于包括传输和计算延迟的延迟约束的运营商费用最小化问题。为了解决该问题，提出了一种基于将问题简化为整数线性规划问题的方法的算法。仿真结果表明，与现有方法相比，该算法在满足各种应用严格的时延要求的同时，显着降低了运营商的费用。