Dependability describes properties of technical systems, such as reliability, availability, safety, integrity, etc. in order to express a trustworthiness, even in the presence of faults.  In the scope of computing systems special attention must be paid to during design and operation phases to achieve these properties to the extent required. One important means to achieve dependability is supporting fault tolerance, i.e. making the system resilient to hardware and software faults by construction. Fault tolerance techniques are in the focus of this conference track, either implemented in hardware or as software-based distributed algorithms. In addition, surrounding techniques will be considered, such as computation models or simulations to assess the impact of fault tolerance techniques to reliability and availability.

• Dependable computer systems, networks and embedded systems
• Fault tolerance techniques in hardware and in software
• Fault-tolerant processor architecture
• Fault tolerance in operating systems, storage and database systems
• Fault tolerance in communication architectures and communication libraries
• Codes for error detection and error correction in memories and storage
• Testing of fault tolerance and performance under fault effects
• Fault injection techniques
• Modeling, simulation and evaluation of fault-tolerant systems
• AI-based techniques for fault tolerance

Authors are invited to submit original, unpublished papers via Easychair by selecting the track “Dependability and Fault Tolerance”. Papers must be submitted in PDF format, formatted according to Springer LNCS style and must not exceed 15 pages, including references, appendices and figures. Accepted contributions will be part of the ARCS 2025 conference proceedings, published in the Springer Lecture Notes on Computer Science (LNCS) series.

Peter Sobe, Dresden University of Applied Sciences, HTWD, Germany (peter.sobe@htw-dresden.de)