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AstroGrid-D gac-grid

AstroGrid-D www.gac-grid.org. AstroGrid-D: S upporting e-Science and Grid middleware in German Astronomy. Scientific Applications

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AstroGrid-D gac-grid

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  1. AstroGrid-Dwww.gac-grid.org AstroGrid-D: Supporting e-Science and Grid middleware in German Astronomy • Scientific Applications • Extensive parameter studies, simulations and postprocessing (including visualisation) of simulation results of astrophysical problems ranging from stellar magneto-hydro-dynamics to collisions of galaxies or black holes to structure formation of the universe • Processing observational data with specialized pipelines and sophisticated workflow managers to build astronomical catalogs, crossmatching and data minig catalogs from data archives to extract new scientific information • Coordinating robotic telescopes for event-triggered observations and longterm studies of astronomical objects independent of the 24h cycle • Architecture • The high-level services produced in AstroGrid-D will be under an Open Source license and use Globus Toolkit 4 and UNICORE for resource abstraction. • Service functionality • scalable and extensible information service • transparent access to replicated data sets • efficient database access and stream processing through pipelining • meta job-scheduling and brokering • X.509-based security and Virtual Organization management • application specific monitoring and steering • Information service • flexible just-in-time schemes by using RDF (Resource Description • Framework) • mechanisms for access restriction • garbage collection with entry lifetime • natural context-based partitioning of metadata • query with SPARQL Millenium Simulation: Dark Matter Distribution • Requirements • execution of complex workflows • steering and migration capabilities for huge simulations • very large volumes of input and output data (> 1 TB) • handling requests for specialized hardware (GRAPE) • management of distributed data sets • interfacing with Virtual Observatory tools • event-triggered observation scheduling • Data Stream Management • publish and subscribe to sensor streams • query shipping instead of data shipping • intelligent in-network query processing • data stream sharing • early filtering of sensor streams • integrating sensor streamsand persistent data • streaming workflows on the grid STELLA I+II: Robotic Telescopes on Tenerife • New challenges • Grid enabling robotic telescopes presents new challenges for job scheduling, job brokering and dynamic resource metadata: • from manual scheduling to automatic scheduling • support for co-scheduling of more than one telescope • weather dependency of observations • support for RTML and metadata description of robotic telescopes AstroGrid-D partners: AEI, AIP, ZIB, MPA, MPE, TUM, ZAH, MPIA, MPIfR, USM, UPI, RZG, LRZ, FZK

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