Scientific Workflow Execution with Multiple Objectives in Multisite Clouds

Ji Liu 1, 2 Esther Pacitti 2, 3 Patrick Valduriez 3, 2 Daniel de Oliveira 4 Marta Mattoso 5
1 MSR - INRIA - Microsoft Research - Inria Joint Centre
2 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
3 IBC - Institut de Biologie Computationnelle
4 Fluminense Federal University [Niterói]
5 COPPE/UFRJ - COPPE, Universidade Federal do Rio de Janeiro
Abstract : In this short paper (see [4] for the extended version), we propose a general solution based on multi-objective scheduling to execute SWfs in a multisite cloud with the following main contributions: the design of a multi-objective cost model, SSVP VM provisioning approach, ActGreedy scheduling algorithm and an extensive experimental evaluation.
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Submitted on : Monday, December 5, 2016 - 4:30:34 PM
Last modification on : Friday, March 15, 2019 - 1:15:00 AM
Long-term archiving on: Tuesday, March 21, 2017 - 8:37:18 AM

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Ji Liu, Esther Pacitti, Patrick Valduriez, Daniel de Oliveira, Marta Mattoso. Scientific Workflow Execution with Multiple Objectives in Multisite Clouds. BDA: Gestion de Données — Principes, Technologies et Applications, LIAS / ISAE-ENSMA, Poitiers, Nov 2016, Poitiers, France. ⟨lirmm-01409092⟩

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