An incremental reinforcement learning scheduling strategy for data‐intensive scientific workflows in the cloud-Reference-Cited by-同舟云学术

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An incremental reinforcement learning scheduling strategy for data‐intensive scientific workflows in the cloud

Published:2021-01-26 Issue:11 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Nascimento André¹,Silva Vítor²,Paes Aline¹^ORCID,Oliveira Daniel¹^ORCID

Affiliation:

1. Instituto de Computação Universidade Federal Fluminense Niterói Brazil

2. COPPE/UFRJ Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6193

Reference69 articles.

1. Towards supporting the life cycle of large scale scientific experiments

2. Managing Provenance of Implicit Data Flows in Scientific Experiments

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1. An incremental reinforcement learning scheduling strategy for data‐intensive scientific workflows in the cloud;Concurrency and Computation: Practice and Experience;2021-01-26

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