Toward Sustainable Micro-Level Fog-Federated Load Sharing in Internet of Vehicles
Document Type
Article
Publication Date
1-1-2020
Abstract
Advancement of technology has enabled access to innovative applications for connected devices. To handle growing computation requirements, the backend cloud data centers become an inefficient solution due to the caused network overhead. This is generally alleviated using edge locations deployed to meet the increasing computing demands. This article proposes a micro-level fog unit deployment to facilitate delay-sensitive applications. To manage imbalanced workloads due to the traffic density, the framework established a fog federation acting as a consortium where underutilized resources are shared to provide service quality. Moreover, we implement a price-based workload balancing algorithm to limit offloading among fog units relative to other consortium members. The experimental results show a balanced offload rate compared to traditional algorithms. Moreover, other measures, such as queue length, end-to-end delay, and workload balancing, demonstrate performance gain under the federation. Overall, 72% energy reduction is achieved through the proposed technique in comparison with the traditional nonfederated model. © 2014 IEEE.
Keywords
Fog computing, fog federation, Internet of Vehicles, sustainable distribution, task offloading
Divisions
fsktm
Funders
Faculty Program, University of Malaya under Grant GPF019D-2019
Publication Title
IEEE Internet of Things Journal
Volume
7
Issue
4
Publisher
Institute of Electrical and Electronics Engineers