Convenience-based periodic composition of IoT services Huang, Bing, Bouguettaya, Athman and Ghari Neiat, Azadeh 2018, Convenience-based periodic composition of IoT services, in ICSOC 2018 : Proceedings of the 16th International Conference on Service-Oriented Computing 2018, Springer, Cham, Switzerland, pp. 660-678, doi: 10.1007/978-3-030-03596-9_48. Attached Files Name Description MIMEType Size Downloads Title Convenience-based periodic composition of IoT services Author(s) Huang, Bing Bouguettaya, Athman Ghari Neiat, Azadeh orcid.org/0000-0001-7512-7143 Conference name Service-Oriented Computing. Conference (16th : 2018 : Hangzhou, China) Conference location Hangzhou, China Conference dates 2018/11/12 - 2018/11/15 Title of proceedings ICSOC 2018 : Proceedings of the 16th International Conference on Service-Oriented Computing 2018 Editor(s) Pahl, Claus Vukovic, Maja Yin, Jianwei Yu, Qi Publication date 2018 Series Service-Oriented Computing Conference Start page 660 End page 678 Total pages 19 Publisher Springer Place of publication Cham, Switzerland Keyword(s) IoT service Periodic composite IoT services Convenience ISBN 9783030035952 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-030-03596-9_48 Indigenous content off HERDC Research category E1.1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30145184 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 Tue, 10 Nov 2020, 10:36:16 EST Wed, 11 Nov 2020, 04:02:49 EST Tue, 17 Nov 2020, 05:05:04 EST Tue, 17 Nov 2020, 10:39:52 EST Tue, 17 Nov 2020, 10:41:29 EST Tue, 17 Nov 2020, 12:15:33 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 44 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Tue, 10 Nov 2020, 10:36:16 EST

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