A dynamic load balancing mechanism for fog computing environment
by Kamran Sattar Awaisi; Assad Abbas; Hasan Ali Khattak; Abbas Khalid; Hafiz Tayyab Rauf; Seifedine Kadry
International Journal of Web and Grid Services (IJWGS), Vol. 18, No. 3, 2022

Abstract: Fog computing has emerged as an extension of cloud computing that provides cloud-like services at the edge of the to internet of things applications. However, the limited storage and processing capability of fog nodes along with inefficient resource scheduling creates a performance bottleneck that can result in high latency and network bandwidth. Therefore, dynamic load balancing is necessary to achieve the true benefits of fog computing. This paper proposes dynamic load balancing mechanism (DLBM) to schedule the number of service requests on fog nodes effectively. Furthermore, three algorithms to dynamically balance the load of fog nodes named are appropriate node selection, effective task distribution and global task execution and resource allocation. The performance of our proposed mechanism is compared with cloud only technique, fog-cloud-placement algorithm, and self-similarity-based load balancing technique. Comparative performance analysis validates the efficiency of the proposed approach. DLBM demonstrates considerable reduction in latency and network bandwidth utilisation.

Online publication date: Thu, 30-Jun-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Web and Grid Services (IJWGS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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 subs@inderscience.com