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Analysis and Modeling System Breakout

Develop a semi-automated system for data analysis and modeling, integrating with EcoGrid for performance optimization. Utilize Ptolemy for batch execution and engage ecologists to create models. Ensure system documentation, archiving, and versioning.

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Analysis and Modeling System Breakout

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  1. Analysis and Modeling System Breakout • Create a semi-automated system for analyzing data and executing models that provides documentation, archiving, and versioning of the analyses, models, and their outputs. • General agreement on the goals and design document, but need for more details, further thought about use cases • Analysis and modeling system needs to capitalize on existing systems • Detailed evaluation/experimentation with PtolemyII • Can Ptolemy be used in ‘batch mode’, without a GUI, for execution • Create an EML Data source agent for Ptolemy • Create an SAS/Matlab/R engine for Ptolemy • Get 1 or more ecologists to develop some models in Ptolemy • Continued inquiry into Discovery NET • Invite Ptolemy and Discovery Net investigators to May meeting • Need to obtain a representative suite of data and models from BEAM to use to analyze analytical needs • data could be provided via EcoGrid eventually • Utilizes SMS services extensively

  2. EcoGrid needs • AMS will need to: • Read metadata and data from EcoGrid • Write metadata and data to EcoGrid • Store and retrieve analytical step descriptions in EcoGrid • Query EcoGrid for community-created steps • Query EcoGrid nodes for computational, storage and network capabilities to use in optimizing execution performance • Distribute computational jobs to suitable EcoGrid nodes (via globus?)

  3. Products • SW1: Metadata language for formal description of analyses (MoML, Monarch, etc) • SW2: Metadata language for the formal description of data and model semantics (Eco2CL) • SW3: Server-side system for execution of analyses and models • SW4: Server-side system for processing semantic metadata • SW5: Client interface for creating and executing analyses and models

  4. Milestones and deliverables • April 1: Finish hiring (SDSC, NCEAS, KU) • June 1: • Experimental analysis system based on Ptolemy interfaced with EcoGrid

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