Query optimization for parallel execution
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Managing query execution for an advanced database programming language
PDIS '93 Proceedings of the second international conference on Parallel and distributed information systems
The Papyrus integrated data server
PDIS '91 Proceedings of the first international conference on Parallel and distributed information systems
Interoperability of Spatial and Attribute Data Managers: A Case Study
SSD '93 Proceedings of the Third International Symposium on Advances in Spatial Databases
Join queries with external text sources: execution and optimization techniques
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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The goal of the Papyrus project [3] is to provide tools and services to enable the integration and parallelization of specialized data managers so that data-intensive applications can be constructed easily and efficiently. In our terminology, a data manager (DM) is a set of specialized methods that manage persistent data. A collection of functions defines the interface to a DM and provides the only means of accessing its persistent data.