1. Grid Portal Development for Sensing Data Retrieval and Processing Diego Arias, Mariana Mendoza, Fernando Cintron, Kennie Cruz, and Wilson Rivera Parallel and Distributed Computing Laboratory University of Puerto Rico at Mayaguez GCE06-SC06 – Tampa, FL November 12-13, 2006

2. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 2 Agenda  Introduction  CASA: Collaborative and Adaptive Sensing of the Atmosphere –NSF: EEC-031374; UMass, UPRM, OU, CSU  WALSAIP: Wide Area Large Scale Automated Information Processing –NSF: CISE-CNS-0424546; UPRM  Remarks and conclusions

3. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 3 Introduction: The PDC Laboratory

4. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 4 Introduction: PDCLab Research Optimized e-Resource Administration Automated Composition Signal Processing Operators Adaptive Provisioning and Orchestration of Grid Services PDC Portal WALSAIP Portal Information Dispersal STB Portal CenSSIS Portal Semi-Analytical Inversion Model

5. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 5 Introduction: PDCLab Grid Testbed

6. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 6  CentOS 4.2  Globus Toolkit 4.0.1. –OpenPBS –Torque –PosgreSQL –Apache Ant version 1.6.5 –Java SDK version 1.5 –Jakarta Tomcat version 5.5.9. Introduction: PDCLab Grid Testbed

7. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 7 Introduction: PDCLab Grid Testbed

8. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 8 Agenda IIntroduction CCASA: Collaborative and Adaptive Sensing of the Atmosphere –N–NSF: EEC-031374; UMass, UPRM, OU, CSU WWALSAIP: Wide Area Large Scale Automated Information Processing –N–NSF: CISE-CNS-0424546; UPRM RRemarks and conclusions

9. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 9 CASA: Collaborative and Adaptive Sensing gap - earth curvature prevents 72% of the troposphere below 1 km from being observed.

10. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 10 Academic Institutions/Researchers Government Media Service/Request Data Service/Request Data CASA: Student Testbed (STB)

11. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 11 CASA: STB Grid Portal Interface

12. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 12 CASA: STB Grid Portal Interface

13. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 13 CASA: Information Dispersal Algorithm

14. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 14 CASA: Data Management Portlets

15. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 15 CASA: Weather Information Portlets

16. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 16 CASA: Job Submission

17. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 17 Agenda IIntroduction CCASA: Collaborative and Adaptive Sensing of the Atmosphere –N–NSF: EEC-031374; UMass, UPRM, OU, CSU WWALSAIP: Wide Area Large Scale Automated Information Processing –N–NSF: CISE-CNS-0424546; UPRM RRemarks and conclusions

18. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 18 WALSAIP: Signal Based Information Processing System Physical Environment Physical Environment Observables Signals Data Sensors Effectors Signal Processing Information Processing Information Knowledge Processing Knowledge Decision System Intelligence

19. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 19 SAS: Sensor Array Structures DRS: Data Representation System CSPS: Computational Signal Processing System SDP: Signal Data Post-processing SCS: Signal Conditioning System RDS: Raw Data Server CDS: Computed Data Server IRS: Information Rendering System DRSSCSSAS RDSCDSCSPSSDP IRS Pre-processing Stage Post-processing Stage Processing Stage SAS INTERNET WALSAIP: Conceptual Framework Design

20. Net-Centric MIMO Services Net-Centric MIMO Services DRS SCSSAS CSPS SDP IRS SDP IRS DRS SCS SAS RDS DBMS RDS DBMS CDS DBMS CIP over a Cyberspace Infrastructure CSPS CIP: Computational and Information Processing

21. Net-Centric MIMO Services Net-Centric MIMO Services DRS SCSSAS CSPS SDP IRS SDP IRS DRS SCS SAS RDS DBMS RDS DBMS CDS DBMS CIP over a Cyberspace Infrastructure CSPS CIP: Computational and Information Processing

22. Net-Centric MIMO Services Net-Centric MIMO Services DRS SCSSAS CSPS SDP IRS SDP IRS DRS SCS SAS RDS DBMS RDS DBMS CDS DBMS CIP over a Cyberspace Infrastructure CSPS CIP: Computational and Information Processing

23. Net-Centric MIMO Services Net-Centric MIMO Services DRS SCSSAS CSPS SDP IRS SDP IRS DRS SCS SAS RDS DBMS RDS DBMS CDS DBMS CIP over a Cyberspace Infrastructure CSPS CIP: Computational and Information Processing

24. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 24 WALSAIP’s Jobos Bay NERR Environmental Surveillance and Monitoring Testbed @ Jobos Bay NERR@ UPRM INTERNET RF-Link MEP-510 MEP-410 RS-232 Base Station MBR410 Local Host Data Base on Host Database Querying and Processing Engine Sensing-Data SensorNode1 SensorNode5 Cooked-data 1-Jun022006-21:02:00-humidity-data.txt 1-Jun022006-21:02:00-humidity-meta.txt Remote User

25. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 25 WALSAIP: Grid Portal Interface

26. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 26 WALSAIP: Grid Portal Interface

27. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 27 WALSAIP: Grid Portal Interface

28. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 28 Agenda IIntroduction CCASA: Collaborative and Adaptive Sensing of the Atmosphere –N–NSF: EEC-031374; UMass, UPRM, OU, CSU WWALSAIP: Wide Area Large Scale Automated Information Processing –N–NSF: CISE-CNS-0424546; UPRM RRemarks and conclusions

29. Wilson Rivera, Parallel and Distributed Computing Laboratory @ UPRM 29 Remarks and Conclusions  Grid portals for large scale applications –Sensing of the Atmosphere (CASA) –Environmental Surveillance and Monitoring (WALSAIP)  Grid services provided via portlets –Distributed data management –Information dispersal –Weather services –Multiple job submission –Service orchestration  Future work –Remote instrumentation via grid portals –Integration to community grid infrastructures (Teragrid, etc….)