Document Type
Article
Source of Publication
IEEE Access
Publication Date
1-1-2021
DOI Link
ISSN
Publisher
Institute of Electrical and Electronics Engineers Inc.
Disciplines
Computer Sciences
Keywords
Ant colony optimization, Digital storage, Fog, Legacy systems, Quality of service, Response time (computer systems), Smart city, Ant Colony Optimization (ACO), Cloud architectures, Computing frameworks, Computing Intelligence, Delay-sensitive applications, Earliest deadline first algorithm, Multilayer designs, Simulation framework, Fog computing
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Qayyum, Tariq; Trabelsi, Zouheir; Malik, Asad Waqar; and Hayawi, Kadhim, "Multi-level Resource Sharing Framework using Collaborative Fog Environment for Smart Cities" (2021). All Works. 2452.
https://zuscholars.zu.ac.ae/works/2452
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series