Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/80839
Citations | ||
Scopus | Web of Science® | Altmetric |
---|---|---|
?
|
?
|
Type: | Journal article |
Title: | Improving data transfer performance of web service workflows in the cloud environment |
Author: | Zhang, D. Coddington, P. Wendelborn, A. |
Citation: | International Journal of Computational Science and Engineering, 2013; 8(3):198-209 |
Publisher: | Inderscience Publishers |
Issue Date: | 2013 |
ISSN: | 1742-7185 1742-7193 |
Statement of Responsibility: | Donglai Zhang; Paul Coddington; Andrew L. Wendelborn |
Abstract: | Web service data forwarding (WSDF) is a framework for centralised 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 it back to the centralised control centre. To improve the data transfer performance of web service workflows in the cloud environment, we carried out a test of the WSDF framework in the ScienceCloud, provided by the Nimbus cloud infrastructure. The experiment showed that, in the cloud environment, the WSDF framework has significant performance advantage over normal web service framework for workflows with large data transfer and the improvement of performance agrees with the expected theoretical value. |
Keywords: | web service workflow web service resource framework WSRF stateful data transfer cloud computing web services |
Rights: | Copyright © 2013 Inderscience Enterprises Ltd. |
DOI: | 10.1504/IJCSE.2013.055352 |
Published version: | http://dx.doi.org/10.1504/ijcse.2013.055352 |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.