Grammar-like functional rules for representing query optimization alternatives
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PREDATOR: an OR-DBMS with enhanced data types
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A Query Translation Scheme for Rapid Implementation of Wrappers
DOOD '95 Proceedings of the Fourth International Conference on Deductive and Object-Oriented Databases
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VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
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VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
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VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
geoPOM: A Heterogeneous Geoscientific Persistent Object System
SSDBM '97 Proceedings of the Ninth International Conference on Scientific and Statistical Database Management
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HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
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RIDE '96 Proceedings of the 6th International Workshop on Research Issues in Data Engineering (RIDE '96) Interoperability of Nontraditional Database Systems
SSDBM '99 Proceedings of the 11th International Conference on Scientific and Statistical Database Management
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ICPADS '98 Proceedings of the 1998 International Conference on Parallel and Distributed Systems
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IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
A Stub Generation System for C++
A Stub Generation System for C++
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The need and opportunity to effciently find patterns and features in the vast and growing scientific data sets of today is apparent. In this paper, we present an extensible and distributed query processing system called Conquest (CONcurrent QUEries over Space and Time) which delivers high performance for non-traditional database query applications. Conquest is composed of three components: query management subsystem, query execution engine and user-interface subsystem. Both operation and data parallelism are supported for high-performance query execution. Scientists can arbitrarily introduce their familiar well-known raster and vector geometry data types to the Conquest data model as well as particular algorithms - so-called operators - for specific applications. Tools are available to help support these new data types and operators so that a developer can focus on programming his/her core logic of algorithms without paying a penalty to deal with the novel execution environment's features.