Control strategies for complex relational query processing in shared nothing systems

Abstract

In this paper, we present an original and complete methodology for supervising relational query processing in shared nothing systems. A new control mechanism is introduced which allows the detection and the correction of optimizer estimation errors and load imbalance. We especially focus on the management of intraprocessor communication and on the overlapping of communication and computation. Performance evaluations on an hypercube and a grid interconnection machine show the efficiency and the robustness of the proposed methods.