The objective of the WATERS workshop series is to discuss and give<br>visibility to tools, best practices and methodologies intended for<br>the assessment and validation of software and system architecture<br>and design intents in all areas of embedded and real–time computing<br>systems. The scope of the workshop ranges from formal or algorithmic<br>analysis–based methods to simulation and trace–based profiling, as<br>well as from high–level architectures or design models to concrete<br>implementations.<br>Much like any other endeavor disciplined by the scientific method,<br>research in the workshop themes requires reproducibility for the<br>adoption of techniques and the comparison of results claimed by<br>proponents. WATERS offers the community of researchers and industrial<br>practitioners an open space for presenting novel results, sharing<br>best practices, and providing feedback on tools, frameworks, reusable<br>data sets, code artifacts, behavioral models developed in research<br>initiatives. Realistic industrial use cases are especially welcome,<br>in that they can constitute common metrics, and in the longer run,<br>possibly benchmarks, for evaluating experimental results obtained<br>in research efforts across industry and academia.<br>The workshop seeks original contributions on methods and tools for<br>real–time and embedded systems analysis, simulation, modelling and<br>benchmarking. We seek papers describing well–engineered, highly<br>reusable, possibly open, tools, methodologies, and data sets that<br>can be used by other researchers.<br>Areas of interest include, but are not limited to:<br>* Modelling, analysis and simulation of, possibly mixed–criticality,<br>real–time, distributed, and embedded systems running on multi–core,<br>many–core, massively parallel, or distributed systems<br>* Modelling, analysis and simulation of the various components of the<br>run–time environment, including the operating system, the<br>hypervisor, or complex middleware components<br>* Tools and methods for the analysis of real–time systems<br>* Instrumentation, tracing methods and overhead analysis, including<br>proper accounting of the overheads due to various virtualization<br>technologies<br>* Power consumption models and experimental data for real–time<br>power–aware systems<br>* Simulation, instrumentation and analysis of complex distributed<br>systems infrastructures such as Cloud Computing infrastructures,<br>when supporting real–time and QoS–aware applications<br>* Realistic case studies and reusable data sets<br>* Comparative evaluation of existing algorithms and techniques<br>
Abbrevation
WATERS
City
Madrid
Country
Spain
Deadline Paper
Start Date
End Date
Abstract