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Workshop on Modeling and Simulation on Grid and Cloud Computing (MSGC’12). CALL FOR PAPERS

In recent years, the use of Modeling and Simulation (M&S) has enabled the creation of new knowledge with unprecedented level of detail, and it is now widely accepted that discovery and analysis are founded on three pillars: theory, experimentation, and simulation. The computational demands imposed by this model of research are continually pushing the envelope of the available technologies, as many sectors have growing needs to process, visualize, make readable, understand, and deploy complex models that use immense amounts of data. These players need to transform data into hypothesis building and critical decision-making, and to adapt or modify their models quickly in response to new discoveries and hypotheses.

M&S has enabled the analysis of complex systems with an unprecedented level of detail. In fact, computing and networking power are causing a fundamental shift in experimentation and analysis. Research labs and private companies now use M&S in their research endeavors, naturally being drawn to the inherent economic benefits that accrue from shorter design-cycle times and reduced requirements for initial resource investment. Many sectors (such as environmental sciences, first responders, defense, etc.) have a growing need to make legible, understand, visualize, and deploy complex models that use immense amounts of data at different resolution levels. This usually requires multidisciplinary collaboration between individuals that have partial knowledge and are located remotely. Furthermore, in competitive industries or government agencies dealing with risk analysis and defense, disclosing the internals of a system or technology to concurrent partners may be unacceptable, making collaboration difficult.

This workshop is motivated by the challenges brought by this new participative model. Although the Grid and Cloud computing paradigms introduced new ways of sharing computing power and storage in heterogeneous environments, there are still many open questions in this research area.

The Grid/Cloud models of computation have been extremely successful, but they pose challenges for advanced simulations, in particular when the players require on-line interactivity and communication with real-time data (for instance, sensor networks or Web 2.0 services). Likewise, simulation interoperability on the Grid requires complex ad-hoc tailoring, which is a costly and lengthy process.

The objective is to bring experts in the field to address open questions in this area. Topics include (but are not limited to): - Web Services, SOA and simulation - Simulation Middleware - Simulation Mashups using Grid and Cloud Computing - Wokflows for distributed simulation on the grid - Composability and mashups using distributed simulation middleware on the grid - Service Composition and Simulation - Simulation Data Management in Cloud Computing Environments - Interfacing Simulation with Web 2.0 Technologies - Remote simulation with smartphones - Grid and Cloud Simulation Tools and Environments