The 11th IEEE International Workshop on Industrial Experience in Embedded Systems Design (IEESD 2021)

Call for Papers

For some years now, the architecture of industrial systems has been approaching the networked PC world. Many of the applications have been developed with a large number of small to large individual systems / components. The integration of a large number of systems into a system of systems working together with other systems has become the important task in recent years and one of the important goals for the future.

We continue to experience a wide spectrum from simple command line applications, large and distributed cloud systems to the new machine learning systems, which further increases the diversity of the current state of the art of embedded systems and the need for collaborative environments.

The technical challenges in developing the above systems, or system of systems, brought another level of complexity to the development task. Thus, the design and development of large industrial embedded systems has reached a new level of complexity, which will be elaborated in this workshop.

The theme of the workshop is to look at highly collaborative industrial systems in the light of new technologies. New hardware components as well as software components and libraries facilitate the development of network-enabled devices. Furthermore, the availability of cloud computing power, cloud services, and again the abundance of web services and programming libraries that enable the rapid integration of such web services are leading to new architectures and development approaches.

They promote the application and further development of scientific approaches in the field of collaborative industrial and embedded systems.

Papers are expected to cover (non-restrictively) one or more of the following topics:

• Adaptable, Evolvable Software and Hardware Architectures, Execution Models and Runtime Platforms
• Novel approaches and experiences with existing approaches of collaborative, service-oriented industrial systems.
• The diversity of industrial embedded systems.
• Experience reports with embedded systems out of different domains for collaborative and/or service-oriented systems.
• Model-Driven Development for collaborative embedded systems
• Software Architectures for and testing od complex embedded systems
• Development Methods, Processes and Tools for complex embedded Systems
• Coupling of Devices and Enterprise Applications