SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Tradeoffs in processing complex join queries via hashing in multiprocessor database machines
Proceedings of the sixteenth international conference on Very large databases
Flexible buffer allocation based on marginal gains
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
Scheduling and mapping for parallel execution of extended SQL queries
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Efficient and accurate cost models for parallel query optimization (extended abstract)
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Dynamic Data Reallocation for Skew Management inShared-Nothing Parallel Databases
Distributed and Parallel Databases
Memory-adaptive scheduling for large query execution
Proceedings of the seventh international conference on Information and knowledge management
Memory allocation strategies for complex decision support queries
Proceedings of the seventh international conference on Information and knowledge management
Scheduling and Processor Allocation for Parallel Execution of Multi-Join Queries
Proceedings of the Eighth International Conference on Data Engineering
Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Using Segmented Right-Deep Trees for the Execution of Pipelined Hash Joins
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Multi-Join Optimization for Symmetric Multiprocessors
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Dynamic Memory Allocation for Multiple-Query Workloads
VLDB '93 Proceedings of the 19th International Conference on Very Large Data Bases
Data placement in shared-nothing parallel database systems
The VLDB Journal — The International Journal on Very Large Data Bases
Dynamic query optimisation: towards decentralised methods
International Journal of Intelligent Information and Database Systems
Performance improvement of join queries through algebraic signatures
International Journal of Intelligent Information and Database Systems
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
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In the decision support queries which manipulate large data volumes, it is frequent that a query constituted by several joins can not be computed completely in memory. In this paper, we propose three strategies allowing to assign the memory of a shared-nothing parallel architecture to operation clones of a query. The performance evaluation of the three strategies shows that the strategies which favor the operation clones using a lot of memory obtain a better response time than the strategy which favors the clones using little memory. The main contribution of this paper is to take into account the available memory sizes on every processor and to avoid allotting the same processor to two operation clones that must run in parallel.