Computing resource allocation in three-tier IoT fog networks: a joint optimization approach combining Stackelberg game and matching
- Submitting institution
-
University of Glasgow
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-04412
- Type
- D - Journal article
- DOI
-
10.1109/JIOT.2017.2688925
- Title of journal
- IEEE Internet of Things Journal
- Article number
- -
- First page
- 1204
- Volume
- 4
- Issue
- 5
- ISSN
- 2327-4662
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2017
- URL
-
http://eprints.gla.ac.uk/150704/
- 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
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper addressed how to allocate limited resources of fog nodes to data service subscribers combining a Stackelberg game and matching theory. It emerged from an invitation to collaborate with Professor Han (University of Houston, Texas), internationally leading group in fog computing. The paper has since underpinned the award of a National Science Foundation Grant (Hierarchical Framework with Distributed Resource Allocation for Mobile Fog Computing, CNS-1717454, 2017 - 20) in collaboration with Professor Han.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
