Poster Abstract: Data-centric IoT Services Provisioning in Fog-Cloud Computing Systems

Fog computing is mainly proposed for IoT applications that are geospatially distributed, large-scale, and latency sensitive. This poses new research challenges in real-time and scalable provisioning of IoT services distributed across Fog-Cloud computing platforms. Data-centric IoT services, as a dominant type of IoT services in large-scale deployments, require design solutions to speed up data processing and notification, and scale up with the data volume. In this paper, we propose a service-oriented design architecture which is particularly focused on provisioning and processing data-centric IoT services over Fog-Cloud systems. In the proposed architecture, data-centric IoT services are organized in a service integrating tree structure, adhering to the hierarchical fog-based IoT computing models. A service node in the tree is empowered with features for real-time service data notification, local data processing and multi-level IoT data access. The initial results show that, along the design advantages of the proposed model, it does not impose any additional overhead as compared to state-of-the-art solutions.