A Query Processing Strategy for the Decomposed Storage Model

Handling parallelism in database systems involves the specification of a storage model, a placement strategy, and a query processing strategy. An important goal is to determine the appropriate combination of these three strategies in order to obtain the best performance advantages. In this paper we present a novel and promising query processing strategy for a decomposed storage model. We discuss some of the qualitative advantages of the scheme. We also compare the performance of the proposed "pivot" strategy with conventional query processing for the n-ary storage model. The comparison is performed using the Wisconsin Benchmarks.

• Type: Conference
• Year: 1987
• Where: ICDE
• Authors: Setrag Khoshafian, George P. Copeland, Thomas Jagodis, Haran Boral, Patrick Valduriez
• Keywords: Database, ICDE 1987, Promising Query Processing, Query Processing Strategy, Storage Model