Vehicular cloud network (VCN) enables the vehicles to act as servers in the cloud environment, considering the abundance of computing and storage resources. Service provisioning may be challenging due to the characteristic of VCN such as service pricing, resource variability, and resource mobility. In this regard, the most important challenges of service provisioning are quality of service (QoS), service availability, and fair/constant pricing. Previous research approaches to service provisioning in VCN involve one or two of the challenges above and none of these approaches are comprehensive. In this paper, we proposed a comprehensive approach to service provisioning in VCN, considering all the challenges above. The proposed approach consists of algorithms to improve the quality of service, service availability, and fair/constant pricing. The outcome of the research is an efficient service provisioning approach and a service level agreement (SLA) in the VCN environment. The proposed approach is evaluated by simulation. The results of simulating various scenarios indicate improvements in quality of service and service availability indicators. It also shows that a fair pricing mechanism has been used.

考虑到丰富的计算和存储资源，车载云网络 (VCN) 使车辆能够在云环境中充当服务器。由于 VCN 的特性，例如服务定价、资源可变性和资源移动性，服务供应可能具有挑战性。在这方面，服务提供的最重要挑战是服务质量 (QoS)、服务可用性和公平/恒定定价。以前在 VCN 中提供服务的研究方法涉及上述挑战中的一两个，这些方法都不是全面的。在本文中，考虑到上述所有挑战，我们提出了一种在 VCN 中提供服务的综合方法。所提出的方法包括提高服务质量、服务可用性和公平/恒定定价的算法。研究的结果是在 VCN 环境中提供有效的服务提供方法和服务级别协议 (SLA)。通过模拟评估所提出的方法。模拟各种场景的结果表明服务质量和服务可用性指标有所改善。它还表明使用了公平的定价机制。