1. Goalnet: Intelligence in Workflow Orchestration Zhiqi Shen Nanyang Technological University June, 2007

2. Background Web services support interoperable machine to machine interaction over the internet; Workflows describe tasks and execution procedures; Business process modeling; and System integration.

3. Challenges Web services are not always available; Web service needs to be selected dynamically; Many workflows available defined using different tools; Process execution path is decided on the runtime; and Decision making is required.

4. Our Solution Goal oriented modeling; Decision making on goals and actions; User interaction; Agent mediation and monitoring; Goal Net modeling tool –Process modeling –Agent modeling

5. Overview of Goal Net

6. Intelligence for Decision Making Process modeling Web service/workflow orchestration Goal selection and action selection Multiple decision making mechanisms support User interaction

7. Agent based System Agent system generation Development platform available –Goal Net Designer –Agent Creator –Goal Net Loader

8. GoalNet Designer - Process Modeling Tool

9. Workflow/Web Service Orchestration Tasks in transitions –Workflows –Web services –Functions Services selected by agents during runtime Execution path (goal pursuit) is decided at the runtime

10. Proposed Architecture for The Bio-Manufacturing Domain Grid/web services

11. Bio-Manufacturing Grid Objective is to reduce time from biomedical research to mass production of diagnostic kits. The system integrates workflows and supply chain processes using the Grid Collection, storage and tracking of bio-samples Sequencing of the genomes of samples Design and Fabrication of DNA chips to test samples Analysis of results Making cost effective diagnostic kits via genes identified

12. New Requirement for Bio- Manufacturing

13. Individual Low-level Bio- Systems are available

14. Existing Tools for Low-level Workflow Orchestration - Taverna

15. Existing Tools for Low-level Workflow Orchestration - Kooplatform

16. Grid based Bio-Manufacturing Key IT components: 1.GoalNet: Developed at MC3/NTU choreographs grid workflow engines and processes. 2.KOOPlatform: Developed by KOOPrime for orchestration of laboratory and bioinformatics processes 3.FPGA card, a system developed by Progeniq 4.Taverna, the leading European bio-grid workflow system developed by MyGrid project 5.Computing and Visualization components: Microarray Genome Mapper (developed by NYP), PCL and CS4 (developed by I2R)

17. Integrated Bio-Manufacturing Process using Goal Net

18. A Typical Bio-Manufacturing Workflow Gap Filling Recloning/ Amp Chromo Walking Viral/Bacterial/Pathogen isolate TavernaKOOPlatform DNA Sequencing Sample Processing Sequence Annotation Probe Design Primer Design Homology Search w GRIDBLAST Clinical Sample Prep Generate Experiment Microarray Data Mgt Microarray DiscoveryMicroarray Visualization Hits List Generation Diag Kits Manufacturing Goalnet Probe List Prep

19. Fig. 2 Architecture of the proposed system Proposed Architecture for The Bio-Manufacturing Domain Grid/web services

20. Goal Net Process – 1 Calling Kooplatform Plate Editor

21. Screen Shots of our System – 2 Contig Result

22. Goal Net Process – 3 Calling Taverna CompareXandY

23. Goal Net Process – 4 Calling Kooplatform Array Normalization

24. Goal Net Process – 5 Calling Kooplatform Class Discovery

25. Screen Shots of our System – 6 Genome Result

26. Conclusion Mechanism for service and workflow orchestration Intelligent decision making according to the runtime situation Agent based integration and monitoring Design and development platform

27. Thank You!