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2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
Opportunities and Challenges in Running Scientific Workflows on the Cloud
Beijing, China
October 10-October 12
ISBN: 978-0-7695-4557-8
| ASCII Text | x | ||
| Yong Zhao, Xubo Fei, Ioan Raicu, Shiyong Lu, "Opportunities and Challenges in Running Scientific Workflows on the Cloud," Cyber-Enabled Distributed Computing and Knowledge Discovery, International Conference on, pp. 455-462, 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/CyberC.2011.80, author = {Yong Zhao and Xubo Fei and Ioan Raicu and Shiyong Lu}, title = {Opportunities and Challenges in Running Scientific Workflows on the Cloud}, journal ={Cyber-Enabled Distributed Computing and Knowledge Discovery, International Conference on}, volume = {0}, year = {2011}, isbn = {978-0-7695-4557-8}, pages = {455-462}, doi = {http://doi.ieeecomputersociety.org/10.1109/CyberC.2011.80}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Cyber-Enabled Distributed Computing and Knowledge Discovery, International Conference on TI - Opportunities and Challenges in Running Scientific Workflows on the Cloud SN - 978-0-7695-4557-8 SP455 EP462 A1 - Yong Zhao, A1 - Xubo Fei, A1 - Ioan Raicu, A1 - Shiyong Lu, PY - 2011 KW - Cloud computing KW - Scientific Workflow KW - Cloud workflow KW - Data Intensive Computing VL - 0 JA - Cyber-Enabled Distributed Computing and Knowledge Discovery, International Conference on ER - | |||
Cloud computing is gaining tremendous momentum in both academia and industry. The application of Cloud computing, however, has mostly focused on Web applications and business applications; while the recognition of using Cloud computing to support large-scale workflows, especially data-intensive scientific workflows on the Cloud is still largely overlooked. We coin the term "Cloud Workflow", to refer to the specification, execution, provenance tracking of large-scale scientific workflows, as well as the management of data and computing resources to enable the execution of scientific workflows on the Cloud. In this paper, we analyze why there has been such a gap between the two technologies, and what it means to bring Cloud and workflow together; we then present the key challenges in running Cloud workflow, and discuss the research opportunities in realizing workflows on the Cloud.
Index Terms:
Cloud computing, Scientific Workflow, Cloud workflow, Data Intensive Computing
Citation:
Yong Zhao, Xubo Fei, Ioan Raicu, Shiyong Lu, "Opportunities and Challenges in Running Scientific Workflows on the Cloud," cyberc, pp.455-462, 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2011
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