Virtual Laboratory for e-Science (VL-e) Henri Bal Department of Computer Science Vrije Universiteit Amsterdam vrije Universiteit

e-Science Web is about exchanging information Grid is about sharing resources oComputers, data bases, instruments, services e-Science supports experimental science by providing a virtual laboratory on top of Grids

Management of comm. & computing Management of comm. & computing Management of comm. & computing Potential Generic part Potential Generic part Potential Generic part Application Specific Part Application Specific Part Application Specific Part Virtual Laboratory Application oriented services Grid Harness multi-domain distributed resources Virtual Laboratories Distributed computing Visualization & collaboration Knowledge Data & information

Optical Networking High-performance distributed computing Security & Generic AAA Virtual lab. & System integration Interactive PSE Collaborative information Management Adaptive information disclosure User Interfaces & Virtual reality based visualization Bio-diversity Bio-Informatics Telescience Data Intensive Science Food Informatics Medical diagnosis & imaging Virtual Laboratory for e-Science

The VL-e project 40 M€ (20 M€ BSIK funding) vrije Universiteit 20 partners Academic - Industrial

Grid Middleware Gigaport Network Service (lambda networking) Application specific service Application Potential Generic service & Virtual Lab. services Grid & Network Services Virtual Laboratory VL-E Experimental Environment VL-E Proof of concept Environment Telescience Medical Application Bio ASP Virtual Lab. rapid prototyping (interactive simulation) Additional Grid Services (OGSA services) VL-e environments

VL-e workshop Optical Networking High-performance distributed computing Security Virtual labi PSE CIM A.I.D. Visualization Bio-div Bio-Inf Telesc ience Data Intensie Food Medical imaging demo P4: Scaling up Jansen Belleman Marshall, Breit Konijnenburg Bouwhuis

MRI, PETMonolith, ClusterCave, Wall, PC, PDA From Medical Image Acquisition to Interactive Virtual Visualization… MD login and Grid Proxy creation Bypass creation LB mesh generation Job submission Job monitoring Virtual Node navigation Simulated Blood Flow Patient at MRI scanner MR image Segmentation Shear stress, velocities Simulated blood flow se (e.g., Leiden)ce (e.g., Valencia)ce (e.g., Bratislava) ui (VRE) P.M.A. Sloot, A.G. Hoekstra, R.G. Belleman, A. Tirado-Ramos, E.V. Zudilova, D.P. Shamonin, R.M. Shulakov, A.M. Artoli, L. Abrahamyan Interactive Problem Solving Environments

Visualization on the Grid

High-Performance Distributed Computing Ibis: a Java-centric grid programming environment oRemote Method Invocation (RMI), group communication, divide&conquer parallelism, object migration (ProActive) Written in pure Java, runs on heterogeneous grids o“Write once, run everywhere ” oUse bytecode rewriting for optimizations (e.g. serialization) oUse native code as special-case optimization (e.g. Myrinet)

Experiences with Ibis Distributed supercomputing applications oElectromagnetic simulation (Jem3D) oAutomated protein identification (AMOLF) oN-body simulations, SAT-solver, raytracer Successful grid experiments oOn DAS-2 (homogeneous Dutch grid) oOn GridLab (European grid) Need co-allocation mechanisms More info + distribution at

Optical networking Formally part of GigaPort-NG BSIK project Studies optical networking technology in a grid context (e.g., bandwidth-on-demand) Useful for many VL-e applications oData-intensive sciences, visualization, HPDC, etc. CPU’s R R R R R NOC

Workshop program 14: :45 Workflow and data integration in e-bioscience: Some user requirements (Scot Marshall) 14: :15 The Knowledge Grid and Adaptive Information Disclosure (Machiel Jansen) 15: :45 Data management in the Proof-of-Concept environment of VL-e (Maurice Bouwhuis) 15: :00 Presentation of the Demos 16: :30 Break & Demo at the LightHouse (SARA+UvA) 16: :00 Medical Application (Robert Belleman) 17: :30 Bioinformatics (Timo Breit) 17: :00 Dutch Tele-science Lab (Marco Konijnenburg)