M Soualhia, F Khomh, S Tahar - Journal of Systems and …, 2017 - publications.polymtl.ca
Task Scheduling in Big Data Platforms: A Systematic Literature Review - PolyPublie < Retour au portail Polytechnique Montréal English Accueil À propos Déposer Parcourir Chercher Se …
Abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industrial communities that allow expressing and processing distributed …
M Soualhia, F Khomh, S Tahar - Journal of Systems …, 2017 - spectrum.library.concordia.ca
Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industrial communities that allow expressing and processing distributed …
M Soualhia, F Khomh, S Tahar - 2017 - hvg.ece.concordia.ca
abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industrial communities that allow expressing and processing distributed …
M Soualhia, F Khomh, S Tahar - Journal of Systems and Software, 2017 - dl.acm.org
A systematic review of scheduling models for Hadoop/Spark/Storm/Mesos (20052016) An analysis of the scheduling models proposed for Hadoop, Spark, Storm, and MesosA …
M Soualhia, F Khomh, S Tahar - 2017 - swat.polymtl.ca
abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industrial communities that allow expressing and processing distributed …
M Soualhia, F Khomh, S Tahar - 2017 - hvg.ece.concordia.ca
abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both research and industrial communities that allow expressing and processing distributed …