Managing large numbers of business processes with cloud workflow systems Liu, Xiao, Yang, Yun, Cao, Dahai, Yuan, Dong and Chen, Jinjun 2012, Managing large numbers of business processes with cloud workflow systems, in AusPDC 2012 : Proceedings of the Tenth Australasian Symposium on Parallel and Distributed Computing, Australian Computer Society, Sydney, N.S.W., pp. 33-42. Attached Files Name Description MIMEType Size Downloads Title Managing large numbers of business processes with cloud workflow systems Author(s) Liu, Xiao orcid.org/0000-0001-8400-5754 Yang, Yun Cao, Dahai Yuan, Dong Chen, Jinjun Conference name Australasian Computer Society. Conference (10th : 2012 : Melbourne, Victoria) Conference location Melbourne, Vic. Conference dates 2012/01/31 - 2012/02/03 Title of proceedings AusPDC 2012 : Proceedings of the Tenth Australasian Symposium on Parallel and Distributed Computing Editor(s) Chen, Jinjun Ranjan, Rajiv Publication date 2012 Series Australasian Computer Society Conference Start page 33 End page 42 Total pages 10 Publisher Australian Computer Society Place of publication Sydney, N.S.W. Keyword(s) Business process management Workflow system Cloud computing Cloud workflow system ISBN 9781921770081 ISSN 1445-1336 Language eng Field of Research 080399 Computer Software not elsewhere classified Socio Economic Objective 0 Not Applicable HERDC Research category E1.1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2012, Australian Computer Society Persistent URL http://hdl.handle.net/10536/DRO/DU:30087719 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 20 Oct 2016, 10:34:15 EST Thu, 27 Oct 2016, 08:18:27 EST Thu, 27 Oct 2016, 12:19:14 EST Tue, 18 Jul 2017, 17:24:33 EST Tue, 18 Jul 2017, 17:27:17 EST Wed, 19 Jul 2017, 06:02:29 EST Mon, 31 Jul 2017, 12:20:53 EST Mon, 31 Jul 2017, 12:24:52 EST Mon, 31 Jul 2017, 12:27:04 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 297 Abstract Views, 9 File Downloads  -  Detailed Statistics Created: Tue, 18 Jul 2017, 17:27:17 EST

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