A Profitable and Energy-Efficient Cooperative Fog Solution for IoT Services
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 931
- Type
- D - Journal article
- DOI
-
10.1109/TII.2019.2922699
- Title of journal
- IEEE Transactions on Industrial Informatics
- Article number
- -
- First page
- 3578
- Volume
- 16
- Issue
- 5
- ISSN
- 1941-0050
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 29
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is a major output of an international research project with researchers from the University of Ottawa and University of Western Ontario (Canada), JUST (Jordan), and Gnowit - a Canadian SME that nourished the project with real-time information feeds from industry, government and media web sources. The presented multimedia service delivery via a fog collaboration approach achieved substantial gains in the service delivery success rate, service quality, reduced power consumption for fog, and increased fog profits. The results have seeded another paper published by the same team in the Journal of Grid Computing.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -