Replica Selection in the Globus Data Grid
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
MySRB & SRB: Components of a Data Grid
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
A Metadata Catalog Service for Data Intensive Applications
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Active Management of Scientific Data
IEEE Internet Computing
The design and implementation of Grid database services in OGSA-DAI: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Service-Oriented Environments for Dynamically Interacting with Mesoscale Weather
Computing in Science and Engineering
An architecture for providing context in WS-BPEL processes
CASCON '08 Proceedings of the 2008 conference of the center for advanced studies on collaborative research: meeting of minds
Personal Workspace for Large-Scale Data-Driven Computational Experiment
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Stream processing in data-driven computational science
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Domain-oriented data-driven data mining (3DM): simulation of human knowledge understanding
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Service oriented architectures for science gateways on grid systems
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
Towards efficient data search and subsetting of large-scale atmospheric datasets
Future Generation Computer Systems
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Large scientific collaborations that use Grid technology often do so because they must conduct complex data analysis and computational experiments requiring wide-spread resources in distributed and remote locations. These experiments may involve complex workflows that run for days. The LEAD project (Linked Environments for Atmospheric Discovery) is a collaboration between meteorologists, computer scientists, and educational experts to construct a large-scale service-oriented architecture that is capable of responding to weather phenomena in real time, executing multi-model simulations of weather forecasts on demand across distributed Grid resources, and adapting resource allocation dynamically in response to the results. At the heart of the system is a triad of services cooperating to ease the increasingly onerous burden on the scientist of managing the data products used in and generated during the process of computational experimentation. The first, a workflow system, is capable of dynamic control of experiment execution, the second, a metadata catalog, actively manages an individual's experiment history over time and engages with the workflow engine to organize products so that later searching can be done with more ease than current solutions allow. The third component is a notification system that serves as the underlying communication substrate. This paper describes the three services in detail with emphasis on the interactions between the services that are needed to accomplish the active capture and recording experimental products.