Multiuser joint task offloading and resource optimization in proximate clouds
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 085-212888-7003593
- Type
- D - Journal article
- DOI
-
10.1109/TVT.2016.2593486
- Title of journal
- Ieee Transactions On Vehicular Technology
- Article number
- -
- First page
- 3435
- Volume
- 66
- Issue
- 4
- ISSN
- 0018-9545
- Open access status
- Technical exception
- Month of publication
- July
- Year of publication
- 2016
- 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
-
3
- Research group(s)
-
2 - Software, Systems & Security (SSS)
- Citation count
- 134
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper proposes a novel heuristic offloading decision algorithm HODA that reduces the challenging issue of remote resource bottleneck to a submodular maximization problem and proves its NP-hardness. HODA is shown to significantly outperform existing solutions, especially when the number of users increases. Published in the IEEE Transactions on Vehicular Technology, the paper has influenced the work of many researchers and is the 21st most cited paper out of 4395 (top 0.5%) published in this leading journal since 2017.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
