Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud. Gari, Y., Monge, D. A., Mateos, C., & Garino, C. G. In High Performance Computing - 4th Latin American Conference, CARLA 2017, Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, September 20-22, 2017, Revised Selected Papers, pages 353–369, 2017. Paper doi bibtex @InProceedings{ dblp:conf/carla/garimmg17,
author = {Yisel Gari and David A. Monge and Cristian Mateos and
Carlos Garc{\'{\i}}a Garino},
title = {Markov Decision Process to Dynamically Adapt Spots
Instances Ratio on the Autoscaling of Scientific Workflows
in the Cloud},
booktitle = {High Performance Computing - 4th Latin American
Conference, {CARLA} 2017, Buenos Aires, Argentina, and
Colonia del Sacramento, Uruguay, September 20-22, 2017,
Revised Selected Papers},
pages = {353--369},
year = {2017},
crossref = {DBLP:conf/carla/2017},
url = {https://doi.org/10.1007/978-3-319-73353-1\_25},
doi = {10.1007/978-3-319-73353-1\_25},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/carla/GariMMG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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