Towards QoS-Aware Resource Allocation in Fog Computing: A Theoretical Model

Quality of Service (QoS) within the Internet of Things (IoT) by facilitating decentralized processing and bringing the computation and storage resources closer to the network edge. It reduces the latency of application responses to the end-users when compared to the cloud computing only-based approaches. One of the major challenges that hinder the ubiquitous adoption of IoT technologies is the efficient handling of resource allocation. There is a necessity for a smart layer that would facilitate efficient and adaptive scheduling between the edge and fog nodes, especially in light of the dynamic and heterogeneous nature of today's fog/cloud-based IoT systems. In this study, we present a theoretical model for such an intermediary layer middleware, with an objective to enable QoS-aware allocation of fog resources.