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Abstract Cost Models for Distributed Data-Intensive Computations
We consider data analytics workloads on distributed architectures, in particular clusters of commodity machines. To find a job partitioning that minimizes running time, a cost model, which we more accurately refer to as makespan model, is needed. In attempting to find the simplest possible, but suff...
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| Publicado en: | Distrib Parallel Databases |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6936958/ https://ncbi.nlm.nih.gov/pubmed/31889741 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10619-018-7244-2 |
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