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Organizing Committee Nelly Bencomo (main contact) Gordon Blair Computing Department Lancaster University, UK Robert France Computer Science Department Colorado State University, USA Program Committee Betty Cheng Michigan State University, USA Fabio M. Costa Federal University of Goias, Brazil Van Den Berg Aswin Motorola Labs, USA John C. Georgas Univ. of California, Irvine, USA Gang Huang Peking University, China P.F.Linington University of Kent, UK Andrey Nechypurenko Siemens, Germany Eugenio Scalise UCV, Venezuela Rui Silva Moreira UFP, INESC Porto, Portugal Arnor Solberg SINTEF, Norway Marten van Sinderen Univ. of Twente, The Netherlands Thaís Vasconcelos Batista UFRN, Brazil Jules White Vanderbilt University, USA Important Dates: Submission deadline: 01th August Notification of acceptance: 24th August Workshop at MoDELS: Tuesday 2nd October |
Models at Run-Time:
Important Dates
Call for Papers
Submission
Programme
Papers Accepted Related Events:
Previous Edition Models@runtime 2006
M-ADAPT @ ECOOP 07
We are witnessing the emergence of new classes of application that are highly complex, inevitably distributed, and operate in heterogeneous and rapidly changing environments. Examples of such applications include those from pervasive and Grid computing domains. These systems are required to be adaptable, flexible, reconfigurable and, increasingly, self-managing. Such characteristics make systems more prone to failure when executing and thus the development and study of appropriate mechanisms for runtime validation and monitoring is needed. In the model-driven software development area, research effort has focused primarily on using models at design, implementation, and deployment stages of development. This work has been highly productive with several techniques now entering the commercialisation phase. The use of model-driven techniques for validating and monitoring run-time behaviour can also yield significant benefits. A key benefit is that models can be used to provide a richer semantic base for run-time decision-making related to system adaptation and other run-time concerns. For example, one can use models to help determine when a system should move from a consistent architecture to another consistent architecture. Model-based monitoring and management of executing systems can play a significant role as we move towards implementing the key self-* properties associated with autonomic computing.Goal The goal of this workshop is to look at issues related to developing appropriate model-driven approaches to monitoring and managing the execution of systems. This is the first workshop to address this theme and its treatment requires the bringing together of a variety of communities including researchers working on model-driven software development, software architectures, reflection (including for example architectural reflection), and autonomic and self healing systems. Discussions in the workshop will address questions such as: What should a runtime model look like? How can the models be maintained at runtime? What are the best approaches to follow when developing runtime models? Workshop Format The workshop participants will be selected based on their experience and ideas related to this new and emerging field. You are invited to apply for attendance by sending a position paper (using the same style required by the Conference Springer LNCS style, maximum 6 pages) in PDF or PS. Submissions will be reviewed by the organizers. The authors will be notified about acceptance before the MoDELS 2007 early registration deadline. A primary deliverable of the workshop is a report that clearly outlines (1) the research issues and challenges in terms of specific research problems in the area, and (2) a synopsis of existing model-based solutions that target some well-defined aspect of monitoring and managing the execution of systems. Potential attendees are strongly encouraged to submit position papers that clearly identify research issues and challenges or present techniques that address well-defined problems in the area. The first part of the workshop will focus on identifying the research issues and challenges and framing an initial set of research questions. The second part of the workshop will focus on discussing approaches for tackling the problems; in particular, the integration of runtime models with model-driven development approaches will be discussed. The workshop aims to: - Integrate and combine research ideas from the areas cited above. - Provide a “state-of-the-research” assessment expressed in terms of research issues, challenges, and accomplishments. This assessment can be used to guide research in the area. - Initiate a network of researchers in the area. Initially, the researchers in the network will share related experience and research results via a mailing list. - Plan and promote further events on these topics. Relevant topics include, but are not limited to: - The relevance and suitability of different model-driven approaches to monitoring and managing systems during runtime. - Compatibility (or tension) between different model-driven approaches. - What should a runtime model look like? - How do models at other phases of the software engineering lifecycle relate to the corresponding run-time models? - How can runtime models be maintained and validated? - What is the role of reflection in maintaining the causal connection between models and run-time systems? - Experience related to the use of run-time models to adapt software systems - Managing and modelling the runtime variability The two best contributions of each workshop and a workshop report will be published in a "Workshop and Symposia" proceedings by Springer in the LNCS series after the conference. | |
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Last Updated: 01/10/2007 Comments? Mail them to us |
