Portland State University. Department of Computer Science
Date of Publication
Master of Science (M.S.) in Computer Science
Computer algorithms, Relational databases, Data warehousing
1 online resource, (59p.)
A data warehouse is a stand-alone repository of integrated information available for decision support OLAP querying and analysis. Aggregate views can be materialized (stored in disk) to improve query performance in a data warehouse.
Several static and dynamic algorithms for selecting materialized aggregate views (MA V) in a data warehouse are proposed in this thesis. The algorithms are then compared by running a simulation system, which can be configured to compare several algorithms on different type of data warehouses. Simulation results for static algorithms are presented to show that several proposed algorithms perform close to an existing good algorithm (HRU Greedy) and run much faster. Simulation results also show that dynamic algorithms depend on locality and need improvement.
Fan, Yubo, "Materialized View Algorithms" (1997). Dissertations and Theses. Paper 5405.