2021, October 7th, Virtual
Due to the continued restrictions with the pandemic, we updated our plans to deliver another summer school in month 46. Instead, we decided to deliver a series of tutorials targeting Fog Computing. The first version of such a tutorial was submitted to the Embedded Systems Week (ESWEEK), it was accepted, and will be presented to the Virtual Embedded Systems Week Conference on October 7th, 2021.
The tutorial presents novel architectures, hardware and software platforms, applications, and data-driven techniques for enabling fault tolerance in Industrial IoT and Fog Computing systems. It comprises theoretical and hands-on components with a focus on fault tolerance. Researchers and practitioners will hear about the challenges and opportunities of recent developments and trends. Industrial IoT refers to IoT systems used in the industrial areas to interconnect machines. It provides the infrastructure that underpins Smart Energy Grids, Smart Cities, Smart and Green Mobility, Smart Manufacturing, etc., and provides solutions for several societal challenges. Fog Computing is a system-level architecture that distributes resources and services for computing, storage, control and networking anywhere along the continuum from Cloud to Things. It is one of the key elements of the IIoT and Industry 4.0. Fog Computing will be enabled by the increased usage of IP-protocols, e.g., standardized Deterministic Ethernet solutions from IEEE Time-Sensitive Networking (TSN)4 Task Group, upcoming 5G wireless standards, and interoperability standards such as OPC Unified Architecture (OPC UA). The resulting integrated Fog Computing platform brings computation, communication and storage closer to the edge of the network.
The tutorial details are as follows, see more here:
- Fog Computing: Industrial Use Cases and Open Issues (Dr. Wilfried Steiner, TTTech)
- Control over the edge cloud: Possibilities and Challenges (Prof. Karl-Erik Årzén , Lund University)
- Data-driven techniques for fault tolerance in Edge Computing systems- theory (Dr. Ivona Brandic, TUWien)
- Data-driven techniques for fault tolerance in Edge Computing systems- hands on! (Atakan Aral , TUWien)