Case study: Cairo---a distributed image retrieval system for cluster architectures
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Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
IEEE Transactions on Knowledge and Data Engineering
Towards an intelligent database system founded on the SP theory of computing and cognition
Data & Knowledge Engineering
Technologies of parallel database systems for hierarchical multiprocessor environments
Automation and Remote Control
Workload-aware data partitioning in community-driven data grids
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Collaborative query coordination in community-driven data grids
Proceedings of the 18th ACM international symposium on High performance distributed computing
Speculative execution plan for multiple query execution systems
Annales UMCS, Informatica
A high performance system for processing queries on distributed geospatial data sets
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
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From the Publisher:Describes how the use of parallel processing technology in the next generation of Database management Systems (DBMSs) has made it possible to meet new challenging requirements. Database technology in rapidly expanding new application areas brings with them challenges such as the increased functionality and the efficient handling of very large heterogeneous databases. The objective of this book is to review the latest techniques in parallel relational databases. It emphasizes techniques for achieving high performance in parallel database systems. The text is structured according to the overall architecture of a parallel database system. Its nine chapters present a number of state of the art techniques that can be adopted in the design of parallel database software and hardware execution environments. These techniques can directly or indirectly lead to high-performance parallel database implementation.