QoS and traffic aware greedy resource allocation in foggy internet of things Online publication date: Fri, 03-Jul-2020
by Hamidreza Mahini; Reza Hajisheykhi; Mina Shahini
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 25, No. 1, 2020
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.
Online publication date: Fri, 03-Jul-2020
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com