1. Cyberinfrastructure for Rapid Prototyping Capability Tomasz Haupt, Anand Kalyanasundaram, Igor Zhuk, Vamsi Goli Mississippi State University GeoResouces Institute

2. Rapid Prototyping Capabilities * The overall goal of the NASA Rapid Prototyping Capability is to speed the evaluation of potential uses of NASA research products and technologies to improve future operational systems by reducing the time to access, configure, and assess the effectiveness of NASA products and technologies. The infrastructure to support the RPC is thus expected to provide the capability to rapidly evaluate innovative methods of linking science observations. * Robert Moorhead (MSU/GRI) – principal investigator Computational infrastructure + collaborative environment

3. RPC in an example of e-Science Many, many more, in particular in biology & medicine System-Level Science is the broad understanding of how complex, multiphenomena physical system behave and how their constituent components interact and interrelate. System-level Science integrates not only different disciplines but also, typically, software systems, data, computing resources, and people. System-level science is usually a team pursuit. Data comes from different sources, different groups develop component models, team members provide specialized expertise, and the often substantial computing and data resources required for success are themselves diverse and distributed. Grid Computing Virtual Organizations Ian Foster ANL and University of Chicago “father of Grid Computing”

4. New Web Revolution The Web 0.5 Digital Enterprise 2.0 Grid Computing e-Science 2.0 The Web 2.0 The Web 1.0 SOA Server hopping Document exchange Dynamic Content, Publishing E-Commerce E-banking,… Community Content, Collaboration Social Networking, Rich Interfaces Database Access, Search Cloud Computing, AJAX, mashups Architecture of participation Collective intelligence User-created content Convergent, emergent Unplanned innovation Freeform simplicity

5. RPC Experiments Data Access Data providers (DAAC, NOAA, etc) Derived data product (model outputs) Simulated data Data (Geo)processing Re-sampling, re-projecting, time series, maps & features, etc. input deck generation … Computational Models Data Publishing Data Analysis Data Storage Semantic metadata Processing Abstraction Model Data Abstraction Model Run Abstraction Experiment Description Experimental Procedure Description of Results Analysis Procedure Conclusions from Evaluation (Recommendation for ISS) (Two ways of describing them) The delivery mechanisms for the evaluation of the use of the NASA-provided resources Prototyping The capability to integrate tools and data to perform such evaluations Rapid

6. Interactive Web SitePrivate Space for Collaboration TDS-based Data Explorer Tools for Data Processing Performance Metrics WorkbenchProvenance DEMONSTRATION

7. What’s under the hood? Apache/Tomcat server (J2EE) GridSphere portlet container THREDDS (Unidata) GUI (JSP) Local Storage Service Bus (ServiceMix) HEG ARTTSPT HPC 2 Storage HPC 2 clusters Wiki (MediaWiki) Globus GRAMgridFTP Web access Content aggregation Portlets SOA Grid Computing REST AJAX

8. Current Work Support for NASA LIS RPC experiment * Valentine Anantharaj (MSU/GRI) - PI Web Browser REST/AJAX Service Bus LIS post- processor Job Submission Service Job Monitoring Service File Transfer Service TDS Service LIS input deck generator Standalone TDS clients Create input deck Request execution Create execution environment Stage files in Listen to job status changes Post- process outputs Create metadata and provenance Post results on TDS Initialized by userOrchestrated services: workflow

9. Support for LIS experiments Set LIS parameters Create LIS input deck Run LIS

10. Monitor the status The post-processed file is automatically transferred to the TREDDS server

11. This concludes my presentation on Cyberinfrastructure for of the Rapid Prototyping Capability System Tomasz Haupt haupt@cavs.msstate.edu Cooperative Computing Group Center for Advanced Vehicular Systems Mississippi State University 

12. Interactive Web Site for describing RPC experiments

13. Private space for discussions

14. TDS-based data repository (data explorer)

15. Tools for data processing (currently HEG)

16. Performance Metrics Workbench (currently multispectral viewer)

17. Provenance

18. Electronic Journals