Page History

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Previous and Existing Uses

Wiki MarkupCurrently Bard exists as the underlying framework upon which MAEviz \ [1\] was built. MAEviz is an open source earthquake disaster management application that extends the Bard framework and provides a set of domain-specific plugins for the earthquake science community. MAEviz allows multiple scientific disciplines to work together to understand system interdependencies, validate results and present findings in a unified manner for the earthquake science domain. MAEviz helps bridge the time-from-discovery gap among researchers, practitioners, and decision makers. The MAEviz project has an intuitive graphical user interface that allows users to visually interact with workflows providing a better understanding of the inputs, outputs and readiness of the system for execution.

It is also under active development for the use in additional NCSA projects, such as the Medici project, as both a RCP (desktop) and web client.

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Several of the tasks proposed for this project will be modifying and extending the Bard platform to support HPC in general and the needs of KISTI in particular. Also, effort will be spent on integrating the current framework with other existing and developing projects to provide a common set of tools upon which consistent and dynamic scientific applications for both desktop and the web can be developed.

Siege

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Siege \ [3\] is intended to serve as a general-purpose work environment for application scientists wanting to run distributed workflows on production resources (such as on the [Teragrid|http://www.teragrid.org]). Its current incarnation provides low level access to the creation of and submission of new or existing workflows as well as a set of sophisticated status monitoring tools. Seige has been under development for about five years and was initially developed as part of the Linked Environments for Atmospheric Discovery (LEAD) \ [2\] program.

Siege will also play an important role in the workflow management infrastructure being developed for Blue Waters.

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Digital Synthesis Framework (DSF)

Wiki MarkupThe Digital Synthesis Framework (DSF) provides a coherent framework for dynamically publishing visual analysis environments based on underlying observational and modeled information. The concept of a synthesis framework involves core capabilities for integrating data from multiple sources, enabling on-demand execution of scientific workflows, and the association of data outputs with multiple visualization and analysis widgets in a dynamically generated web application.    In the DSF, NCSA's Cyberintegrator workflow environment is used to integrate data sources and invoke modeling modules. When the workflow is complete, it can be saved and run repeatedly as a service. A publication service allows the workflow outputs (which may be observational data or model outputs) to be associated with visualization widgets and embedded into a dynamically generated scenario viewer web application. The application can display data outputs from completed workflows or can trigger new workflows on demand. Along with maps, graphs, tables, and other displays, the application can display provenance information and links to associated reference material. As a concrete example, we present one of the TRECC pilot projects to incorporate a model predicting hypoxic (low oxygen) conditions in Corpus Christi Bay, Texas based on information from sensors deployed in and around the bay, into a hypoxia forecast web application \ [4\].

Service Layer

Parameterized Workflow Engine (PWE)

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The core functionality of Elf/Ogrescript should require no changes for this project. Custom Elf scripts will be developed and tested for each HPC code required for ths project as consistent with the design of Elf/Ogrescript.

References

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\[1\] James Myers, Terry McLaren, Chris Navarro, Jong Lee, Nathan Tolbert, B.F. Spencer, Amr Elnashai (2008), "MAEviz: Bridging the Time-from-discovery Gap between Seismic Research and Decision Making", UK e-Science AHM. Edinburgh, UK. Sept 8-11, 2008.unmigrated-wiki-markup

\[2\] Alameda, J., Hampton, S., Jewett, B., Rossi, A., Wilhelmson, B. (2006), "Ensemble Broker Service Oriented Architecture for LEAD", 22nd  22nd International Conference on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology. Atlanta, GA. January 28 - Feburary 2, 2006.

Wiki Markup\[3\] Alameda, J., Wilhelmson, R., Rossi, A., Hampton, S., Jewett, B., "Siege: A Graphical User Interface to Enable Management of Large Numbers of Weather Simulations"A Graphical User Interface to Enable Management of Large Numbers of Weather Simulations"

[4] James D. Myers, Joe Futrelle, Jeff Gaynor, Joel Plutchak, Peter Bajcsy, Jason Kastner, Kailash Kotwani, Jong Sung Lee, Luigi Marini, Rob Kooper, Robert E. McGrath, Terry McLaren, Alejandro Rodriguez, Yong Liu (2008), "Embedding Data in Knowledge Spaces". Presented at Workshop 9: The Global Data Centric View, UK e-Science AHM. Edinburgh, UK. Sept 8-11, Wiki Markup\[4\] James D. Myers, Joe Futrelle, Jeff Gaynor, Joel Plutchak, Peter Bajcsy, Jason Kastner, Kailash Kotwani, Jong Sung Lee, Luigi Marini, Rob Kooper, Robert E. McGrath, Terry McLaren, Alejandro Rodriguez, Yong Liu (2008), "Embedding Data in Knowledge Spaces". Presented at Workshop 9: The Global Data Centric View, UK e-Science AHM. Edinburgh, UK. Sept 8-11, 2008.