 | Calder Complex Events Processing
| Calder researches complex events processing in data driven scientific
computing. Current work investigates complex scientific use cases for
events processing and programming models that integrate complex events
processing and service oriented workflow systems. Earlier work
investigated provenance for data streams. The work is funded through a
DOE CAREER grant.
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 | Doppler Source
| | The Doppler Source project processed streaming data from the NEXRAD
radar network comprising 120 operational WSR-88D Doppler radars in the
continental United States. It automatically generated metadata on the
fly and stored the data to a SQLserver database. The files themselves
were stored to a tape archive, then retrieved using attributes gathered
during metadata generation. This work forms the basis for some of the
ideas in the XMCcat project.
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 | dQUOB: dynamic Query Objects
| | dQUOB
was a middleware system providing continuous evaluation of queries over
time sequenced data through an SQL-like language interface. The dQUOB
system has been applied to such diverse applications as a safety
critical autonomous robotics simulation and scientific software
visualization for global atmospheric transport modeling. | | Project Page |
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 | LEAD | Linked Environments for Atmospheric Discovery (LEAD) makes meteorological data, forecast models, and analysis and visualization tools available to anyone who wants to interactively explore the weather as it evolves. The LEAD Portal brings together all the necessary resources at one convenient access point, supported by high-performance computing systems. With LEAD, meteorologists, researchers, educators, and students are no longer passive bystanders or limited to static data or pre-generated images, but rather they are active participants who can acquire and process their own data.
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| | Internal Links | | | Discussion Board | | | Developers Website | Funding: National Science Foundation
| September 2003-2009
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 | Relational Grid Resources (RGR) Project | | The Relational Grid Resource project explored the representation of
grid resource data. It advanced the thinking about resource information
(e.g., CPU speeds, amount of memory, I/O bandwidth, storage resources)
by showing that existing solutions using LDAP were inadequate for
storing resource information because resource information underwent
rapid change. | | Project Page | | | | | | | Funding: NSF - ITR
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