Abstract-Fog computing aims at extending the Cloud by bringing computational power, storage, and communication capabilities to the edge of the network, in support of the IoT. Segmentation, distribution, and adaptive deployment of functionalities over the continuum from Things to Cloud are challenging tasks, due to the intrinsic heterogeneity, hierarchical structure, and very large scale infrastructure they will have to exploit. In this paper, we propose a simple, yet general, model to support the QoS-aware deployment of multicomponent IoT applications to Fog infrastructures. The model describes operational systemic qualities of the available infrastructure (latency and bandwidth), interactions among software components and Things, and business policies. Algorithms to determine eligible deployments for an application to a Fog infrastructure are presented. A Java tool, FogTorch, based on the proposed model has been prototyped.
Among the studies considering this scenario, we cite the work of Brogi et al. REF that propose a model to support the QoS-aware deployment of multicomponent IoT applications in Fog infrastructures.
QoS-Aware Deployment of IoT Applications Through the Fog
IEEE Internet of Things Journal
IEEE Internet of Things Journal
Computer Science