Logic-based approach to semantic query optimization
ACM Transactions on Database Systems (TODS)
Network-based concurrent computing on the PVM system
Concurrency: Practice and Experience
A method for automatic rule derivation to support semantic query optimization
ACM Transactions on Database Systems (TODS)
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Improved histograms for selectivity estimation of range predicates
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Integrity constraints: semantics and applications
Logics for databases and information systems
Design and Implementation of a Semantic Query Optimizer
IEEE Transactions on Knowledge and Data Engineering
Automatic Knowledge Acquisition and Maintenance for Semantic Query Optimization
IEEE Transactions on Knowledge and Data Engineering
Logic-Based Query Optimization for Object Databases
IEEE Transactions on Knowledge and Data Engineering
Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach
IEEE Transactions on Knowledge and Data Engineering
Histogram-Based Approximation of Set-Valued Query-Answers
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A Statistical Approach to Rule Selection in Semantic Query Optimisation
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
Experience with PVM in an Industrial Environment
EuroPVM '96 Proceedings of the Third European PVM Conference on Parallel Virtual Machine
Extending the Re-use of Query Results at Remote Client Sites
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Data Analysis for Query Processing
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
A predicate-based caching scheme for client-server database architectures
The VLDB Journal — The International Journal on Very Large Data Bases
A fast transformation method to semantic query optimisation
IDEAS '97 Proceedings of the 1997 International Symposium on Database Engineering & Applications
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A fundamental problem to be solved in systems that derive rules from database tables to use in query optimisation is the workload involved. If the data server has to do the work it can interfere with query processing and cause slower query answering, which is the opposite of the required effect. This paper reports our investigation of the use of multiple workstations in the same local network as the data server to derive and maintain sets of rules describing data subsets. These rules are used in query optimisation. In a local area network of workstations, one computer accepts SQL queries and data manipulation commands from networked clients. This computer provides an interface to one or more database management systems located on computers in the network. It uses a collection of subset-descriptor rules for query reformulation before forwarding the semantically optimised query. It manages a set of workstations in the network, to derive and maintain the rules. The workstations are ordinary networked computers whose spare computing capacity is utilised by spawning background programs on them.