Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2953
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dc.contributor.authorMaity, Prasenjit-
dc.contributor.authorShukla, Jaya-
dc.contributor.authorSahoo, Bibhudatta-
dc.contributor.authorTuruk, Ashok Kumar-
dc.date.accessioned2018-03-19T10:14:11Z-
dc.date.available2018-03-19T10:14:11Z-
dc.date.issued2018-03-
dc.identifier.citation4th IEEE International Conference on Recent Advances In Information Technology, Dhanbad, Jharkhand, India, 15 - 17 March, 2018en_US
dc.identifier.urihttp://hdl.handle.net/2080/2953-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractFog computing has appeared as a favorable technology that can bring cloud applications closer to the physical IoT devices at the network edge but there is neither a common fog computing architecture or how it supports real-time Internet of Things (IoT) service execution. Edge devices such as the switch, router, gateway, mobile phones, smart car etc., are the candidates for deployment of fog nodes but the deployment differs according to the application. In this work, we have taken gateways as candidates for fog node deployment. The gateway collects data from smart sensors, but it does not have any pre-processing or decision-making capabilities. Therefore, the gateway is made smarter with Fog capabilities and named as Fog Smart Gateway (FSG). The processing of IoT traffic is taken care of by Virtual Machines (VMs) facilitated by distributed Fog nodes. We optimized the number of fog nodes for deployment to reduce the total latency induced by traffic aggregation and processing. Our results show that the optimal deployment of fog nodes in the IoT network could yield a reduction in latency compared to processing IoT data in a conventional cloud system.en_US
dc.publisherIEEEen_US
dc.subjectEdge devicesen_US
dc.subjectFog computingen_US
dc.subjectFog nodeen_US
dc.subjectService latencyen_US
dc.subjectVirtual Machinesen_US
dc.titleQoS-Aware Fog Nodes Placementen_US
dc.typeArticleen_US
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