Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/228683

Download PDF (Published version) (Adobe Acrobat PDF, -1 bytes)

Title

Managing large numbers of business processes with cloud workflow systems

Author(s)

Liu, Xiao;  Yang, Yun;  Cao, Dahai;  Yuan, Dong;  Chen, Jinjun

Abstract

With the emergence of cloud computing which can deliver on-demand high-performance computing resources over the Internet, cloud workflow systems offer a competitive software solution for managing large numbers of business processes. In this paper, we first analyse the basic system requirements through a motivating example, and then, the general design of a cloud workflow system is proposed with the focus on its system architecture, functionalities and QoS (quality of service) management. Afterwards, the system implementation of a peer-to-peer based prototype cloud workflow system is demonstrated to verify our design. Finally, experimental results show that with the dynamic resource provisioning, conventional violation handling strategies such as workflow local rescheduling can ensure the on-time completion of large numbers of business processes in a more cost-effective way.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Conferences in Research and Practice in Information Technology: proceedings of the Tenth Australasian Symposium on Parallel and Distributed Computing (AusPDC 2012), held in conjunction with Australasian Computer Science Week 2012 (ACSW 2012), Melbourne, Victoria, Australia, 30 January - 03 February 2012 / Jinjun Chen and Rajiv Ranjan (eds.), Vol. 127, pp. 33-42

Publication year

2012

Keyword(s)

Business processes;  Cloud workflow systems

Publisher

Australian Computer Society

ISSN

1445-1336 (series ISSN)

ISBN

9781921770081, 1921770082

Publisher URL

http://crpit.com/abstracts/CRPITV127Liu.html

Copyright

Copyright © 2012 Australian Computer Society, Inc. This paper appeared at the 10th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2012), Melbourne, Australia, January-February 2012. Conferences in Research and Practice in Information Technology (CRPIT), Vol. 127. J. Chen and R. Ranjan, Eds. Reproduction for academic, not-for profit purposes permitted provided this text is included. The published version is reproduced in accordance with this policy.

Research Projects

Novel cloud computing based workflow technology for managing large numbers of process instances, Australian Research Council grant number LP0990393

Full text

Peer reviewed