Title: QoS and traffic aware greedy resource allocation in foggy internet of things

Authors: Hamidreza Mahini; Reza Hajisheykhi; Mina Shahini

Addresses: Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran ' Department of Computer Science and Engineering, Michigan State University, East Lansing, USA ' Department of Computer Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran

Abstract: Fog computing is a response to the increasing growth of data generated by the internet of things (IoT) applications developed in the cloud computing platform. It is a solution to materialise the IoT and helps to improve the resource allocation problem. In this paper, we propose an effective method to conquer the resource allocation problem in IoT applications. Our method defines two important objectives: 1) reducing the internet core traffic; 2) serving subscribers with the appropriate quality of service level. The experimental results, which are reported in form of numerous and various scenarios, indicate that the suggested MMGM method can reduce the internet core traffic up to 50%. Also, the minimum deviation from the required or the contracted quality level of service is realised with the help of the Most Graceful Matching (MGM) assignment method.

Keywords: fog computing; internet of things; IoT; resource allocation; quality of service; QoS; traffic aware.

DOI: 10.1504/IJCNDS.2020.10022190

International Journal of Communication Networks and Distributed Systems, 2020 Vol.25 No.1, pp.95 - 121

Received: 16 Dec 2018
Accepted: 04 Feb 2019

Published online: 03 Jul 2020 *

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