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dc.contributor.authorWang, Qian
dc.contributor.authorLee, Brian
dc.contributor.authorMurray, Niall
dc.contributor.authorQiao, Yuansong
dc.identifier.citation2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). 11-14 January, Las Vegas, USA. Wang, Qian et al., MR-Edge: a MapReduce-based Protocol for IoT Edge Computing with Resource Constraints. 1-6. 10.1109/CCNC.2019.8651855.en_US
dc.description.abstractEdge computing is proposed to remedy the Cloud-only processing architecture for Internet of Things (IoT) because of the massive amounts of IoT data. The challenge is how to deploy and execute data processing tasks on heterogeneous IoT edge network. As MapReduce is a wellknown model in Cloud computing for distributed processing of big data, this paper aims to devise a MapReduce-based protocol to achieve IoT edge computing. Our design is built upon the novel Information Centric Networking (ICN), which supports function naming and forwarding so as to facilitate task distribution among edge devices. To guarantee the correctness of task execution, a tree topology is formed in our approach to establish the logical connection between different types of edge devices, namely processing-capable nodes and forward-only ones. Moreover, the proposed protocol includes a task maintenance scheme that enables the coexistence of multiple IoT computation jobs. A testbed is implemented on ndnSIM to verify the feasibility of our design. The results show our approach could significantly decrease the network traffic compared with centralized data processing.en_US
dc.publisherIEEE Xploreen_US
dc.relation.ispartof2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)en_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland*
dc.subjectInternet of thingsen_US
dc.subjectCloud computingen_US
dc.subjectInformation centric networkingen_US
dc.subjectMapReduce - Computer programmeen_US
dc.titleMR-Edge: a MapReduce-based Protocol for IoT Edge Computing with resource constraints.en_US
dc.typeConference paper
dc.rights.accessOpen Accessen_US
dc.subject.departmentSoftware Research Institute AITen_US

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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland