QoS and traffic aware greedy resource allocation in foggy internet of things. (1st May 2020)

• Record Type: Journal Article
• Authors: Mahini, Hamidreza; Hajisheykhi, Reza; Shahini, Mina
• Is Part Of: International journal of communication networks and distributed systems. Volume 25:Number 1(2020)
• Page Start: 95
• Page End: 121
• Publication Date: 2020-05-01
• Subjects: fog computing -- internet of things -- IoT -- resource allocation -- quality of service -- QoS -- traffic aware; Computer networks -- Periodicals; Telecommunication systems -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; 004.6
• Languages: English
• ISSNs: 1754-3916

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.