WATERS 2018 - 9th International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems
Topics/Call fo Papers
The goal of the International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems (WATERS) is to create a common ground and a community to share methodologies, software tools, best practices, data sets, application models, benchmarks and any other way to improve comparability of results in the current practice of research in real-time and embedded systems. People from industry are especially welcome to contribute with realistic data sets or methods coming from their own experience, which in the midterm may serve as benchmarks for assessing real-time research efforts.
WATERS 2018 is a satellite workshop of the 30th Euromicro Conference on Real-Time Systems (ECRTS 2018), the premier European venue for presenting research into the broad area of real-time and embedded systems.
Focus of the 2018 edition
Modern embedded systems (e.g. ADAS in automotive or mobile robotics) are characterized by the fusion of several application domains (e.g. control, cognition, high-level planning, etc.) onto the same digital HW platform. Each of these application domains is characterized by different execution requirements and follows different models of computation. As a consequence, classical models in isolation are not sufficient to predict real-time and performance properties. We encourage submissions proposing novel models or combining existing models for analyzing real-time and performance properties for such heterogeneous systems.
WATERS 2018 is a satellite workshop of the 30th Euromicro Conference on Real-Time Systems (ECRTS 2018), the premier European venue for presenting research into the broad area of real-time and embedded systems.
Focus of the 2018 edition
Modern embedded systems (e.g. ADAS in automotive or mobile robotics) are characterized by the fusion of several application domains (e.g. control, cognition, high-level planning, etc.) onto the same digital HW platform. Each of these application domains is characterized by different execution requirements and follows different models of computation. As a consequence, classical models in isolation are not sufficient to predict real-time and performance properties. We encourage submissions proposing novel models or combining existing models for analyzing real-time and performance properties for such heterogeneous systems.
Other CFPs
Last modified: 2017-11-27 23:10:17