Management of network resources in advanced IoT applications is a challenging topic due to their distributed nature from the Edge to the Cloud, and the heavy demand of real-time data from many sources to take action in the deployment. FANETs (Flying Ad-hoc Networks) are a clear example of heterogeneous multi-modal use cases, which require strict quality in the network communications, as well as the coordination of the computing capabilities, in order to operate correctly the final service. In this paper, we present a Virtual Network Embedding (VNE) framework designed for the allocation of dataflow applications, composed of nano-services that produce or consume data, in a wireless infrastructure, such as an airborne network. To address the problem, an anypath-based heuristic algorithm that considers the quality demand of the communication between nano-services is proposed, coined as Quality-Revenue Paired Anypath Dataflow VNE (QRPAD-VNE). We also provide a simulation environment for the evaluation of its performance according to the virtual network (VN) request load in the system. Finally, we show the suitability of a multi-parameter framework in conjunction with anypath routing in order to have better performance results that guarantee minimum quality in the wireless communications.

翻译：在先进物联网应用中，网络资源管理是一个具有挑战性的课题，这源于其从边缘到云端的分布式特性，以及为执行部署决策而需从多个来源获取实时数据的巨大需求。飞行自组网（FANET）是多模态异构应用场景的典型范例，其网络通信需满足严格的服务质量要求，同时需协调计算能力以确保最终服务的正常运行。本文提出一种面向无线基础设施（如空中网络）中数据流应用分配问题的虚拟网络嵌入（VNE）框架，该类应用由产生或消费数据的纳米服务组成。针对该问题，我们提出了一种基于任意路径的启发式算法，该算法综合考虑纳米服务间的通信质量需求，命名为"质量-收入配对的任意路径数据流VNE算法（QRPAD-VNE）"。我们还构建了仿真环境，根据系统中虚拟网络（VN）请求负载对其性能进行评估。最后，我们论证了多参数框架与任意路径路由相结合的优势，以在保证无线通信最低服务质量的前提下获得更优的性能结果。