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}
}
Downloads: 0
{"_id":"KEjzMRL9SYjxWrjRq","bibbaseid":"gari-monge-mateos-garino-markovdecisionprocesstodynamicallyadaptspotsinstancesratioontheautoscalingofscientificworkflowsinthecloud-2017","author_short":["Gari, Y.","Monge, D. A.","Mateos, C.","Garino, C. G."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Yisel"],"propositions":[],"lastnames":["Gari"],"suffixes":[]},{"firstnames":["David","A."],"propositions":[],"lastnames":["Monge"],"suffixes":[]},{"firstnames":["Cristian"],"propositions":[],"lastnames":["Mateos"],"suffixes":[]},{"firstnames":["Carlos","García"],"propositions":[],"lastnames":["Garino"],"suffixes":[]}],"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","bibtex":"@InProceedings{\t dblp:conf/carla/garimmg17,\n author\t= {Yisel Gari and David A. Monge and Cristian Mateos and\n\t\t Carlos Garc{\\'{\\i}}a Garino},\n title\t\t= {Markov Decision Process to Dynamically Adapt Spots\n\t\t Instances Ratio on the Autoscaling of Scientific Workflows\n\t\t in the Cloud},\n booktitle\t= {High Performance Computing - 4th Latin American\n\t\t Conference, {CARLA} 2017, Buenos Aires, Argentina, and\n\t\t Colonia del Sacramento, Uruguay, September 20-22, 2017,\n\t\t Revised Selected Papers},\n pages\t\t= {353--369},\n year\t\t= {2017},\n crossref\t= {DBLP:conf/carla/2017},\n url\t\t= {https://doi.org/10.1007/978-3-319-73353-1\\_25},\n doi\t\t= {10.1007/978-3-319-73353-1\\_25},\n timestamp\t= {Thu, 14 Oct 2021 01:00:00 +0200},\n biburl\t= {https://dblp.org/rec/conf/carla/GariMMG17.bib},\n bibsource\t= {dblp computer science bibliography, https://dblp.org}\n}\n\n","author_short":["Gari, Y.","Monge, D. A.","Mateos, C.","Garino, C. G."],"key":"dblp:conf/carla/garimmg17","id":"dblp:conf/carla/garimmg17","bibbaseid":"gari-monge-mateos-garino-markovdecisionprocesstodynamicallyadaptspotsinstancesratioontheautoscalingofscientificworkflowsinthecloud-2017","role":"author","urls":{"Paper":"https://doi.org/10.1007/978-3-319-73353-1\\_25"},"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://www.dropbox.com/s/ltmfmsjyb1g4b0j/isistan.bib?dl=1","dataSources":["34oCDnefHsPvZYAoN","GubhEQ4KnTkmXdGs7","yo8uFRWqYA7sXDpMX","Cv4ZpP6vDamstJ3A5"],"keywords":[],"search_terms":["markov","decision","process","dynamically","adapt","spots","instances","ratio","autoscaling","scientific","workflows","cloud","gari","monge","mateos","garino"],"title":"Markov Decision Process to Dynamically Adapt Spots Instances Ratio on the Autoscaling of Scientific Workflows in the Cloud","year":2017}