Sharmin, Zeseya and Malik, Asad Waqar and Ur Rahman, Anis and Noor, Rafidah Md (2020) Toward Sustainable Micro-Level Fog-Federated Load Sharing in Internet of Vehicles. IEEE Internet of Things Journal, 7 (4). pp. 3614-3622. ISSN 2372-2541, DOI https://doi.org/10.1109/JIOT.2020.2973420.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | Faculty Program, University of Malaya under Grant GPF019D-2019 |
| Uncontrolled Keywords: | Fog computing; fog federation; Internet of Vehicles; sustainable distribution; task offloading |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 24 Jun 2020 02:13 |
| Last Modified: | 24 Jun 2020 02:13 |
| URI: | http://eprints.um.edu.my/id/eprint/24956 |
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