Title: Improving data transfer performance of web service workflows in the cloud environment

Authors: Donglai Zhang; Paul Coddington; Andrew L. Wendelborn

Addresses: School of Computer Science, University of Adelaide, Adelaide 5000, Australia ' eResearch SA, University of Adelaide, Thebarton Campus, Thebarton 5031, Australia ' School of Computer Science, University of Adelaide, Adelaide 5000, Australia

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.

DOI: 10.1504/IJCSE.2013.055352

International Journal of Computational Science and Engineering, 2013 Vol.8 No.3, pp.198 - 209

Received: 16 Apr 2012
Accepted: 20 Apr 2012
Published online: 27 Dec 2013 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article