Abstract. A new heuristic, called Algorithm W, is presented as a method for efficiently generating cost-effective semijoin schedules for distributed query.
Minimizing Data Transfers in. Distributed Query Processing: A. Comparative Study and Evaluation. JOAN M. MORRISSEY AND W. T. BEALOR. School of Computer Science ...
Minimizing Data Transfers in Distributed Query Processing: A Comparative Study and Evaluation · J. Morrissey, W. T. Bealor · Published in Computer/law journal ...
Joan M. Morrissey, W. T. Bealor: Minimizing Data Transfers in Distributed Query Processing: A Comparative Study and Evaluation.
We have constructed an evaluation framework wherein we can systematically generate "synthetic" data and queries, produce optimization schedules, execute them ...
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Investigating the 2-Way Semijoin for Distributed Query Optimization · Minimizing Data Transfers in Distributed Query Processing: A Comparative Study and ...
1996 · [j4]. Q3. Joan M. Morrissey, W. T. Bealor Minimizing Data Transfers in Distributed Query Processing: A Comparative Study and Evaluation. ; 1995 · [c7].
The paper presents a structured approach to the problem of minimizing the join cost in a relational distributed environment.
Minimizing data transfers in distributed query processing: A comparative study evaluation. 1996, Computer Journal. A Parallel Execution Method for Minimizing ...
Oct 22, 2024 · ... Minimizing Data Transfers in Distributed Query Processing: A Comparative Study and Evaluation. Article. Aug 1996. J.M. Morrissey · W. T. Bealor.