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A Novel Resource Management Framework for Fog Computing by Using Machine Learning Algorithm

A Novel Resource Management Framework for Fog Computing by Using Machine Learning Algorithm
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Author(s): Shanthi Thangam Manukumar (Anna University, India) and Vijayalakshmi Muthuswamy (Amity University, India)
Copyright: 2020
Pages: 11
Source title: Architecture and Security Issues in Fog Computing Applications
Source Author(s)/Editor(s): Sam Goundar (The University of the South Pacific, Fiji), S. Bharath Bhushan (Sree Vidyanikethan Engineering College, India) and Praveen Kumar Rayani (National Institute of Technology, Durgapur, India)
DOI: 10.4018/978-1-7998-0194-8.ch002

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Abstract

With the development of edge devices and mobile devices, the authenticated fast access for the networks is necessary and important. To make the edge and mobile devices smart, fast, and for the better quality of service (QoS), fog computing is an efficient way. Fog computing is providing the way for resource provisioning, service providers, high response time, and the best solution for mobile network traffic. In this chapter, the proposed method is for handling the fog resource management using efficient offloading mechanism. Offloading is done based on machine learning prediction technology and also by using the KNN algorithm to identify the nearest fog nodes to offload. The proposed method minimizes the energy consumption, latency and improves the QoS for edge devices, IoT devices, and mobile devices.

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