Scheduling Multilayer Divisible Computations
RAIRO - Operations Research - Recherche Opérationnelle, Tome 49 (2015) no. 2, pp. 339-368.

We analyze scheduling multilayer divisible computations. Multilayer computations consist of a chain of parallel applications, such that one application produces input for the next one. A simple form of multilayer computations are MapReduce parallel applications. The operations of mapping and reducing are two divisible applications with precedence constraints. We propose a divisible load model and give an algorithm for scheduling multilayer divisible computations. The algorithm is tested in a series of computational experiments. We draw conclusions on schedule patterns and determinants of the performance.

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Accepté le :
DOI : 10.1051/ro/2014050
Classification : 90B35, 68M20, 68M14
Mots clés : Scheduling, divisible loads, parallel processing, multilayer computations, MapReduce
Berlińska, Joanna 1 ; Drozdowski, Maciej 2

1 Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Umultowska 87, 61-614 Poznań, Poland.
2 Institute of Computing Science, Poznań University of Technology, Piotrowo 2, 60-965 Poznań, Poland.
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     title = {Scheduling {Multilayer} {Divisible} {Computations}},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
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Berlińska, Joanna; Drozdowski, Maciej. Scheduling Multilayer Divisible Computations. RAIRO - Operations Research - Recherche Opérationnelle, Tome 49 (2015) no. 2, pp. 339-368. doi : 10.1051/ro/2014050. http://www.numdam.org/articles/10.1051/ro/2014050/

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