Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/71913
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Type: | Conference paper |
Title: | Data transfer performance of web service workflows in the cloud environment |
Author: | Zhang, D. Coddington, P. Wendelborn, A. |
Citation: | Proceedings of the 4th IEEE International Conference on Utility and Cloud Computing, held in Melbourne, 5-7 December, 2011 / R. Buyya, S. Pallickara and G. Fox (eds.): pp.338-344 |
Publisher: | IEEE |
Publisher Place: | USA |
Issue Date: | 2011 |
ISBN: | 9781457721168 |
Conference Name: | IEEE International Conference on Utility and Cloud Computing (4th : 2011 : Melbourne) |
Statement of Responsibility: | Donglai Zhang, Paul Coddington and Andrew Wendelborn |
Abstract: | Web Service Data Forwarding (WSDF) is a framework for centralized web service workflow, in which the intermediate result from a previous service is treated as a resource of the composite service and can be directly used by its subsequent service, without sending back to the centralized control centre. We carried out a test of the WSDF framework within a web service workflow, in which the service providers are located in the ScienceCloud, provided by the Nimbus cloud infrastructure. The experiment shows that, in the cloud environment, the WSDF framework has significant performance advantage over normal web service framework for workflows with large data transfer. |
Rights: | © 2011 IEEE |
DOI: | 10.1109/UCC.2011.57 |
Published version: | http://dx.doi.org/10.1109/ucc.2011.57 |
Appears in Collections: | Aurora harvest Computer Science publications |
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RA_hdl_71913.pdf Restricted Access | Restricted Access | 861.86 kB | Adobe PDF | View/Open |
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