Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud-Reference-Cited by-同舟云学术

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Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud

Published:2017 Issue: Volume: Page:80-112
ISSN:0302-9743
Container-title:Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXIII
language:
Short-container-title:

Author:

Liu Ji,Pacitti Esther,Valduriez Patrick,Mattoso Marta

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-55696-2_3

Reference39 articles.

1. Azure service bus. http://azure.microsoft.com/en-us/services/service-bus/

2. DBLP Computer Science Bibliography. http://dblp.uni-trier.de/

3. Microsoft Azure. http://azure.microsoft.com

4. Montage. http://montage.ipac.caltech.edu/docs/gridtools.html

5. Parameters of different types of VMS in microsoft Azure. https://azure.microsoft.com/en-us/pricing/details/virtual-machines/

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. Chaotic hybrid multi-objective optimization algorithm for scientific workflow scheduling in multisite clouds;Journal of the Operational Research Society;2023-04-19

2. OLAP parallel query processing in clouds with C‐ParGRES;Concurrency and Computation: Practice and Experience;2019-12-19

3. A Survey on Global Management View: Toward Combining System Monitoring, Resource Management, and Load Prediction;Journal of Grid Computing;2019-01-11

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