论文标题
在分布式云/边缘环境中，成本最佳的V2X服务位置
Cost-optimal V2X Service Placement in Distributed Cloud/Edge Environment
论文作者
论文摘要
部署V2X服务已成为一项艰巨的任务。这主要是由于此类服务具有严格的延迟要求。为了满足这些要求，一种潜在的解决方案是采用移动边缘计算（MEC）。但是，这提出了新的挑战，包括如何找到符合其他要求（例如延迟）的经济高效安置。在这项工作中，制定了在分布式云/边缘环境中的成本优势V2X服务位置（CO-VSP）的问题。此外，提出了以成本为中心的延迟感知的V2X服务放置（DA-VSP）启发式算法。仿真结果表明，Co-VSP模型和DA-VSP算法都保证了所有此类服务的QoS要求，并说明了延迟和部署成本之间的权衡。
Deploying V2X services has become a challenging task. This is mainly due to the fact that such services have strict latency requirements. To meet these requirements, one potential solution is adopting mobile edge computing (MEC). However, this presents new challenges including how to find a cost efficient placement that meets other requirements such as latency. In this work, the problem of cost-optimal V2X service placement (CO-VSP) in a distributed cloud/edge environment is formulated. Additionally, a cost-focused delay-aware V2X service placement (DA-VSP) heuristic algorithm is proposed. Simulation results show that both CO-VSP model and DA-VSP algorithm guarantee the QoS requirements of all such services and illustrates the trade-off between latency and deployment cost.
