Automatic Failure Recovery for Container-Based IoT Edge Applications Olorunnife, Kolade, Lee, Kevin and Kua, Jonathan 2021, Automatic Failure Recovery for Container-Based IoT Edge Applications, Electronics, vol. 10, no. 23, pp. 1-20, doi: 10.3390/electronics10233047. Attached Files Name Description MIMEType Size Downloads Title Automatic Failure Recovery for Container-Based IoT Edge Applications Author(s) Olorunnife, Kolade orcid.org/0000-0002-2730-9150 Lee, Kevin orcid.org/0000-0001-9699-9418 Kua, Jonathan Journal name Electronics Volume number 10 Issue number 23 Article ID 3047 Start page 1 End page 20 Total pages 20 Publisher MDPI Place of publication Basel, Switzerland Publication date 2021 ISSN 2079-9292 2079-9292 Keyword(s) Science & Technology Technology Physical Sciences Computer Science, Information Systems Engineering, Electrical & Electronic Physics, Applied Computer Science Engineering Physics Internet of Things (IoT) edge computing failure recovery MEAN TIME FAULT-TOLERANCE INTERNET THINGS Summary Recent years have seen the rapid adoption of Internet of Things (IoT) technologies, where billions of physical devices are interconnected to provide data sensing, computing and actuating capabilities. IoT-based systems have been extensively deployed across various sectors, such as smart homes, smart cities, smart transport, smart logistics and so forth. Newer paradigms such as edge computing are developed to facilitate computation and data intelligence to be performed closer to IoT devices, hence reducing latency for time-sensitive tasks. However, IoT applications are increasingly being deployed in remote and difficult to reach areas for edge computing scenarios. These deployment locations make upgrading application and dealing with software failures difficult. IoT applications are also increasingly being deployed as containers which offer increased remote management ability but are more complex to configure. This paper proposes an approach for effectively managing, updating and re-configuring container-based IoT software as efficiently, scalably and reliably as possible with minimal downtime upon the detection of software failures. The approach is evaluated using docker container-based IoT application deployments in an edge computing scenario. Language eng DOI 10.3390/electronics10233047 Field of Research 0906 Electrical and Electronic Engineering HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30160126 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to Elements publication management system 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. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 08 Dec 2021, 08:16:15 EST Thu, 09 Dec 2021, 14:31:17 EST Thu, 09 Dec 2021, 14:38:32 EST Sat, 18 Dec 2021, 01:45:42 EST Sat, 29 Jan 2022, 01:31:43 EST Thu, 03 Feb 2022, 11:07:54 EST Thu, 03 Feb 2022, 13:52:05 EST Thu, 03 Feb 2022, 13:55:56 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 56 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 08 Dec 2021, 08:16:15 EST