With the development of microprocessor technology, massive IoT devices are deployed in smart cities which promotes numerous supervisory control and data acquisition (SCADA) systems to accomplish the key issue. The emergence of computation intensive and delay sensitive applications makes it quite a challenge for IoT devices in SCADA systems with very weak computing capacity. Vehicular edge computing (VEC) is a new computing paradigm with great potential of enhancing SCADA system performance by offloading applications from the resource-constrained SCADA system to lightweight and ubiquitous VEC servers. In this paper, we propose a solution to exploit the load of IoT devices offloaded to VEC server only through vehicles by three steps. Firstly, the tasks from SCADA system are loaded via vehicles; Secondly, vehicles offload task to VEC servers; Finally, the vehicle returns the result to SCADA system. We establish this problem as integrating offloading to VEC servers with load balancing, and returning the result to SCADA system with less cost. A Joint Selection decision, Computation resource and Return result (JSCR) scheme is proposed to solve the problem. First, we propose to integrate the load balance with the tasks offload problem to efficiently complete task and further formulate the problem as a mix-integer non-linear programming problem. Then, we decouple the problem as two subproblems and develop a low complexity algorithm to jointly optimize Selection decision, Computation resource allocation and Return result. Finally, we conducted extensive simulation experiments. The results illustrate that the proposed algorithm exhibits fast convergence speed and demonstrates the superior performance. Specifically, the proposed JSCR scheme improves the system utility by 15.81% and load balancing efficiency by 27.5%.

随着微处理器技术的发展，在智能城市中部署了大规模的物联网设备，这推动了众多的监督控制和数据采集（SCADA）系统来完成关键问题。计算密集型和对延迟敏感的应用程序的出现，对于计算能力非常弱的SCADA系统中的物联网设备来说，是一个很大的挑战。车辆边缘计算（VEC）是一种新的计算范例，通过将应用程序从资源受限的SCADA系统卸载到轻便且无处不在的VEC服务器上，具有增强SCADA系统性能的巨大潜力。在本文中，我们提出了一种解决方案，仅通过三个步骤即可利用通过VEC服务器卸载的IoT设备的负载。首先，SCADA系统的任务通过车辆加载；其次，车辆将任务卸载到VEC服务器；最后，车辆将结果返回到SCADA系统。我们将这个问题建立为通过负载平衡将卸载集成到VEC服务器，然后以较低的成本将结果返回给SCADA系统。提出了联合选择决策，计算资源和返回结果（JSCR）方案来解决该问题。首先，我们建议将负载平衡与任务卸载问题集成在一起，以高效地完成任务，并将问题进一步表述为混合整数非线性规划问题。然后，我们将问题分解为两个子问题，并开发了一种低复杂度的算法来共同优化选择决策，计算资源分配和返回结果。最后，我们进行了广泛的模拟实验。实验结果表明，该算法收敛速度快，具有优越的性能。