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On the Effectiveness of Optimization Search Strategies for Parallel Execution Spaces.

Rosana S. G. Lanzelotte, Patrick Valduriez, Mohamed Zaït: On the Effectiveness of Optimization Search Strategies for Parallel Execution Spaces. VLDB 1993: 493-504
@inproceedings{DBLP:conf/vldb/LanzelotteVZ93,
  author    = {Rosana S. G. Lanzelotte and
               Patrick Valduriez and
               Mohamed Za\"{\i}t},
  editor    = {Rakesh Agrawal and
               Se{\'a}n Baker and
               David A. Bell},
  title     = {On the Effectiveness of Optimization Search Strategies for Parallel
               Execution Spaces},
  booktitle = {19th International Conference on Very Large Data Bases, August
               24-27, 1993, Dublin, Ireland, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1993},
  isbn      = {1-55860-152-X},
  pages     = {493-504},
  ee        = {db/conf/vldb/LanzelotteVZ93.html},
  crossref  = {DBLP:conf/vldb/93},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

The cost of query optimization is affected by both the search space and the search strategy of the optimizer. In a parallel execution environment, the search space tends to be much larger than in the centralized case. This is due to the high number of execution alternatives which implies a significant increase in the optimization cost. In this paper, we investigate the trade-off between optimization cost and parallel execution cost using the DBS3 parallel query optimizer. We describe its cost model which captures all essential aspects of parallel executions. We show how the cost metrics imply a significant increase in the search space and optimization cost. However, instead of restricting the search space, which may lead to loosing better plans, we reduce the optimization cost bycontrolling the search strategy. We extend randomized strategies to adapt well to parallel query optimization. In particular, we propose Toured Simulation Annealing which provides a better trade-off between optimization cost and quality of the parallel execution plan.

Copyright © 1993 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.


Online Paper

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Printed Edition

Rakesh Agrawal, Seán Baker, David A. Bell (Eds.): 19th International Conference on Very Large Data Bases, August 24-27, 1993, Dublin, Ireland, Proceedings. Morgan Kaufmann 1993, ISBN 1-55860-152-X
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