GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments-Reference-Cited by-同舟云学术

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GA-ETI: An enhanced genetic algorithm for the scheduling of scientific workflows in cloud environments

Published:2018-05 Issue: Volume:26 Page:318-331
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Casas Israel^ORCID,Taheri Javid^ORCID,Ranjan Rajiv,Wang Lizhe,Zomaya Albert Y.

Funder

Commonwealth Scientific and Industrial Research Organization (CSIRO)

Consejo Nacional de Ciencia Tecnología (CONACYT)

Australian Research Council

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference34 articles.

1. Performance analysis of cloud computing services for many-tasks scientific computing;Iosup;IEEE Trans.,2011

2. Illumina. Available: https://www.illumina.com/ .

3. (2013, July) IEEE SPECTRUM.

4. Cloud storage forensics: ownCloud as a case study;Martini;Digital Invest.,2013

5. Big forensic data reduction: digital forensic images and electronic evidence;Quick;Cluster Comput.,2016

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