Distributed systems research covers a wide spectrum of applications ranging across embedded real/time systems, commercial transaction systems, transportation systems, and military/space systems.
Such systems raise several issues not found in single processor systems. The main difficulty arises when considering dependability, security, adaptability and resources constrained computing.
This area requires computing systems to run software in an efficient and trustworthy way. That is, in order to be able to design complex architectures in reasonable time, novel and effective design
methodologies are needed to automatically build applications from high-level descriptions to take into account what needs to be deployed on hardware. To remedy this weakness, combining both model
and component seems to be a very promising cocktail for building solutions to this problem.

The introduction of the component approach in the development of embedded systems allows facilitating their design by building through an assembly of existing components. Indeed, this approach
provides a clear separation between the specification and implementation of components. Note however that in the context of component software, distributed architecture is significantly more demanding
than that of traditional monolithic integrated solution. Model-driven engineering provides a very useful contribution for the design of distributed systems since it bridges the gap between design issues and
implementation concerns. It helps the designer to concentrate on application structure and required behavior and it permits us to specify in a separate way non-functional requirements such as underlying
execution infrastructure/middleware, dependability and reconfiguration issues that are very important to guide the implementation process.

The main focus of DANCE is on the topic of making design and implementation expert knowledge available to distributed real time embedded systems (DRTES) engineering processes.
Special emphasis will be devoted to promote discussion and interaction between researchers and practitioners focused on the particularly challenging task to efficiently integrate dependability
and reconfiguration solutions within the restricted available design space and time. Furthermore, one important focus is on the potential benefits of the combination of model- driven engineering
with languages and representation of component engineering solutions. The workshop aims to bring together researchers from various fields involved in the development and deployment of component
in embedded systems with a particular focus on the transfer of results from fundamental research to the industrial development of energy, resource and time constrained applications.
The exchange of concepts, prototypes, research ideas, and other results which contribute to the academic arena and also benefit business and industrial communities, is of particular interest.
Some of the topics that we seek to include in the workshop are related to the development of models and tools to support the inclusion of energy, resource and time constraints
within dependability and reconfiguration requirements issues into the embedded systems engineering process.

We would like to promote new modeling and programming paradigms that allow system and software developers to express distribution in a platform independent manner.

Topics of interest include, but are not limited to:

* Architecture and execution support design for distributed applications
* Distribution techniques which exploit new models and protocols of distributed computing systems
* Distributed adaptive and self-adaptive softwares
* Modeling of resource management, resource scaling polices and strategies
* Component-based design for building collaborative distributed systems
* Description language, Patterns, Meta- modeling, Multi- modeling, UML Profiles, DSMLs, ...
* Specification of distributed architecture for Model Driven Development process
* Specification of distributed architecture using programming paradigms (object, component and aspect-oriented programming ...)
* Verification, testing and validation of distributed architecture
* Designing simulation frameworks that can model designs and predict system properties, such as responsiveness and availability, based on simulated and historical data
* Standards-based distributed ontology models and architectures that enable open interfaces with plug-and-play hardware and software components
* Tools support for assisting modeling, deployment and configuration of distributed software architectures
* Case studies, empirical results, experience reports, suit-tools