Sharing and performance optimization of reproducible workflows in the cloud-Reference-Cited by-同舟云学术

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Sharing and performance optimization of reproducible workflows in the cloud

Published:2019-09 Issue: Volume:98 Page:487-502
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Qasha Rawaa^ORCID,Wen Zhenyu^ORCID,Cała Jacek,Watson Paul^ORCID

Funder

National Natural Science Foundation of China

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference47 articles.

1. Scientific workflow: a survey and research directions;Barker,2007

2. Workflows and e-science: An overview of workflow system features and capabilities;Deelman;Future Gener. Comput. Syst.,2009

3. Scientific workflows in the cloud;Juve,2011

4. CaSe studies and challenges in reproducibility in the computational sciences;Arabas,2014

5. Best practices for workflow design: How to prevent workflow decay;Hettne,2012

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Model-based tool for the design, configuration and deployment of data-intensive applications in hybrid environments: An Industry 4.0 case study;Journal of Industrial Information Integration;2024-09

2. Collaboration At The Stage Of Semantic Assets Development;2022 International Conference on Electrical, Computer and Energy Technologies (ICECET);2022-07-20

3. Cache-aware scheduling of scientific workflows in a multisite cloud;Future Generation Computer Systems;2021-09

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