Range Aggregate Processing in Spatial Databases
IEEE Transactions on Knowledge and Data Engineering
The Data Warehouse Lifecycle Toolkit
The Data Warehouse Lifecycle Toolkit
Modified R-MVB tree and BTV algorithm used in a distributed spatio-temporal data warehouse
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
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The query optimization problem in data base and data warehouse management systems is quite similar. Changes to Joins sequences, projections and selections, usage of indexes, and aggregations are all decided during the analysis of an execution schedule. The main goal of these changes is to decrease the query response time. The optimization operation is often dedicated to a single node. This paper proposes optimization to grid or cluster data warehouses / databases. Tests were conducted in a multi-agent environment, and the optimization focused not only on a single node but on the whole system as well. A new idea is proposed here with multi-criteria optimization that is based on user-given parameters. Depending on query time, result admissible errors, and the level of system usage, task results were obtained along with grid optimization.