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WSES 08 : 3 rd International Workshop on Workflow Systems in e-Science 8th IEEE International Symposium on Cluster Computing and the Grid May 19-22, 2008, Ecole Normale Superieure de Lyon , Lyon , France. Organizers: dr. Adam Belloum dr. Zhiming Zhao.
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WSES 08 : 3rd International Workshop on Workflow Systems in e-Science 8th IEEE International Symposium on Cluster Computingand the Grid May 19-22, 2008, Ecole Normale Superieure deLyon, Lyon, France Organizers: dr. Adam Belloum dr. Zhiming Zhao 10:30 - 18:30 Tue, 20 May 2008, Lyon, France
Workshop Program • 10:30 -12:30 (room: UNESCO 1st floor) • Session 1: Data & resource management in workflow systems • 14:00 -16:00: (room: UNESCO 1st floor) • Session 2: Execution and interactivity in workflow systems • 16:30 -18:30 (room: UNESCO 1st floor) • Session 3: Workflow systems
Workshop Program (Session 1):Data & resource management in workflow systems (90’) Opening (10’) • Khalid Belhajjame : “Metadata Management in the Taverna Workflow” • Ewa Deelman “Data Management Challenges of Large-Scale, Data-Intensive Scientific workflow” • Bartosz Balis “Tracking and Querying in the ViroLab Virtual Laboratory” • Lican Huang “Resource Discovery based on a Novel Distributed DNS Framework” • Hyeong S “A Task Pipelining Framework for e-Science Workflow Management Systems”
Workshop Program (Session 2):Execution and interactivity in workflow systems(90’) • Piotr Nowakowski “A New Approach to Development and Execution of Interactive Applications on the Grid” • Tristan Glatard “Implementation of Turing machines with the Scufl data-flow language” • Adianto Wibisono “A Framework for Interactive Parameter Sweep Applications” • Fabricio Nogueira “A Lightweight Middleware Monitor for Distributed Scientific Workflows” • Sascha Hunold “Scheduling Dynamic Workflows onto Clusters of Clusters using Postponing Strategies”
Workshop Program (Session 3):workflow systems (90’) • James Hogan “Comparative Studies Made Simple in GPFlow Lawrence Buckingham” • Po-Wah Yau Securing Grid Workflows with Trusted Computing” • Stefan Jablonski “Architecture of the DaltOn Data Integration System for Scientific Applications” • Discussion
Discussion • Previous WSES events • Related workflow events • Our experience in the Dutch Virtual Laboratory for e-Science (VL-e) project
Previous WSES workshops(WSES-06 and WSES-07) • 1st WSES (2006, Reading, UK) • Workshop reports: http://staff.science.uva.nl/~zhiming/workshop/wses/2006/#_Workshop_report • 2nd WSES (2007, Beijing, CN) • Workshop report: http://staff.science.uva.nl/~zhiming/workshop/wses/2007/#_Report
Related workshops(SWBES-06 and SWBES-07) • 1stSWBES (2006, Amsterdam, NL) • Workshop reports and presentations slides: http://staff.science.uva.nl/~adam/workshops/e-science2006/e-Science-Workshop-report.htm • 2ndSWBES (2007, Bangalore, IN) • Workshop reports and presentations slides: http://staff.science.uva.nl/~adam/workshops/e-science2007/SWBES-07report.htm
Related Special Issues • WORKS-06 and WSES-06 • Scientific Programming Volume 14, No 3,4 2006. • WSES 07, SWF 07 and SWBES 06 • Future Generation computer Systems (Review in progress)
Discussed issues • Industrial standards (BPEL, WS, etc.) in e-Science workflows • Interoperability of e-Science WMS • Semantics and data provenance • Interactivity and Human in the loop
High lights • Interoperability between different scientific workflows • Semantic integration • Human in the loop interaction • Provenance • Cooperative working
Our experience • Virtual Laboratory for e-Science • Horizontal: Six application domains • Vertical: Expertise at different levels: application, workflow developer, Grid etc. • Motivation: cooperation, knowledge sharing and transferring, and innovative e-Science • We realize: workflow is a core service to glue things
Lessons • Usability of workflow systems, • Developers: Good architecture and engineering • Scientists: Evolving requirements in order to do creative work after using a system • challenge: how to bridge the gap? • Interoperability between systems • Developers: extending existing developments to meet new integration requirements, • Scientists: share/reuse components/workflows between domains and systems • Lesson: a better engineering approach • How about your experience? • What did you learn?