Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2930
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dc.contributor.authorMaiti, Prasenjit-
dc.contributor.authorShukla, Jaya-
dc.contributor.authorSahoo, Bibhudatta-
dc.contributor.authorTuruk, Ashok Kumar-
dc.date.accessioned2018-03-07T10:56:54Z-
dc.date.available2018-03-07T10:56:54Z-
dc.date.issued2018-02-
dc.identifier.citationInternational Conference on Emerging Technologies in Data Mining and Information Security (IEMIS2018), Kolkata, West Bengal. India, 23 – 25 February, 2018.en_US
dc.identifier.urihttp://hdl.handle.net/2080/2930-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractFog computing provides a distributed data capturing, processing and resource allocation approach in the Internet of Things (IoT). The Quality of Service (QoS) requirements of IoT services are service delay, energy consumption, resource provisioning, bandwidth utilization. We design a fog computing architecture based on QoS parameter. We represent the distributed Cloud-IoT solution where data optimally distributed among mini-clouds/Fog nodes. The processing of IoT traffic is taken care of by Virtual Machines(VMs) facilitated by distributed mini clouds/Fog nodes and located within the edge devices. However, there has been little research on design a QoS aware fog computing architecture. We propose a mathematical formulation of fog computing model. We model for performance analysis of a system based on QoS metrics.en_US
dc.subjectFog Computingen_US
dc.subjectQuality of Servicesen_US
dc.subjectClouden_US
dc.subjectEnergy consumption- delay tradeoffen_US
dc.titleMathematical Model of Fog Computing Architecture for IoT Micro-Servicesen_US
dc.typeArticleen_US
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