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Managing large numbers of business processes with cloud workflow systems

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conference contribution
posted on 2024-07-09, 19:35 authored by Xiao Liu, Yun YangYun Yang, Dahai Cao, Dong Yuan, Jinjun ChenJinjun Chen
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.

Funding

Management of Large-Scale Models

Directorate for Computer & Information Science & Engineering

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History

Available versions

PDF (Published version)

ISBN

9781921770081

ISSN

1445-1336

Journal title

Conferences in Research and Practice in Information Technology Series Volume 127: 10th Australasian Symposium on Parallel and Distributed Computing, AusPDC 2012

Conference name

10th Australasian Symposium on Parallel and Distributed Computing, AusPDC 2012

Location

Melbourne, VIC

Start date

2012-01-31

End date

2012-02-03

Volume

127

Pagination

9 pp

Publisher

Australian Computer Society

Copyright statement

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.

Language

eng

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