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Title: Mathematical Model of Fog Computing Architecture for IoT Micro-Services
Authors: Maiti, Prasenjit
Shukla, Jaya
Sahoo, Bibhudatta
Turuk, Ashok Kumar
Keywords: Fog Computing
Quality of Services
Energy consumption- delay tradeoff
Issue Date: Feb-2018
Citation: International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS2018), Kolkata, West Bengal. India, 23 – 25 February, 2018.
Abstract: Fog 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.
Description: Copyright of this document belongs to proceedings publisher.
Appears in Collections:Conference Papers

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