Computing with nearby mobile devices: a work sharing algorithm for mobile edge-clouds Fernando, Niroshinie, Loke, Seng W. and Rahayu, Wenny 2019, Computing with nearby mobile devices: a work sharing algorithm for mobile edge-clouds, IEEE transactions on cloud computing, vol. 7, no. 2, April-June 2019, pp. 329-343, doi: 10.1109/TCC.2016.2560163. Attached Files Name Description MIMEType Size Downloads Title Computing with nearby mobile devices: a work sharing algorithm for mobile edge-clouds Author(s) Fernando, Niroshinie Loke, Seng W. orcid.org/0000-0001-9568-5230 Rahayu, Wenny Journal name IEEE transactions on cloud computing Volume number 7 Issue number 2 Season April-June 2019 Start page 329 End page 343 Total pages 14 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2019-04 ISSN 2168-7161 Keyword(s) mobile edge-clouds crowdsourcing mobile crowd computing offloading Language eng DOI 10.1109/TCC.2016.2560163 Indigenous content off HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30088296 Document type: Journal Article 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 Fri, 28 Oct 2016, 09:43:14 EST Sat, 29 Oct 2016, 04:00:35 EST Tue, 01 Nov 2016, 11:59:42 EST Fri, 03 Nov 2017, 15:26:01 EST Sat, 04 Nov 2017, 05:01:11 EST Fri, 10 Nov 2017, 08:22:29 EST Fri, 10 Nov 2017, 08:25:40 EST Tue, 17 Jul 2018, 16:04:16 EST Mon, 22 Oct 2018, 08:20:23 EST Mon, 22 Oct 2018, 08:48:03 EST Tue, 19 Feb 2019, 13:05:08 EST Sat, 29 Jun 2019, 02:31:36 EST Sat, 06 Jul 2019, 02:30:15 EST Wed, 17 Jul 2019, 10:06:54 EST Mon, 22 Jul 2019, 13:35:16 EST Filtered Full Citation counts:   Cited 9 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 280 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Fri, 03 Nov 2017, 15:26:01 EST

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