Hybrid Simultaneous Scheduling and Mapping in SQL Multi-query Parallelization

  • Authors:
  • Sophie Bonneau;Abdelkader Hameurlain

  • Affiliations:
  • -;-

  • Venue:
  • DEXA '99 Proceedings of the 10th International Conference on Database and Expert Systems Applications
  • Year:
  • 1999

Quantified Score

Hi-index 0.00

Visualization

Abstract

In the context of the database query optimization on a parallel architecture, we focus here on the problem of dynamically mapping the tasks making up several SQL queries onto a shared-nothing parallel architecture. The main contribution of this paper lies in the proposal of an incremental parallelization strategy which carries out simultaneously both scheduling and mapping in co-operation with memory allocation in a dynamic multi-user context. The paper functionally describes in terms of components our dynamic PSA/MEG-based parallelization strategy in a multi-user context, as well as one of the two incremental memory allocation heuristics, called ModDeg, which are integrated into the MEG mapping method, and presents a sum-up of the performance evaluation of this heuristic.