Multi-user Computation Partitioning for Latency Sensitive Mobile Cloud Applications
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1015
- Type
- D - Journal article
- DOI
-
10.1109/TC.2014.2366735
- Title of journal
- IEEE Transactions on Computers
- Article number
- -
- First page
- 2253
- Volume
- 64
- Issue
- 8
- ISSN
- 0018-9340
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- 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)
-
-
- Citation count
- 111
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work is an output of an international collaboration with researchers at Hong Kong Polytechnic University and National Institute of Informatics in Japan, supported by three grants, e.g. from Microsoft (H-ZD89). The novel technique proposed uses both offline and online heuristic algorithms to address the multi-user computation partitioning problem in practical cloud systems with many users and high demands for computations under certain scheduling delay. The evaluation conducted shows its significant performance improvements over related techniques. The work has significantly influenced subsequent research in areas like mobile edge computing as well as 5G and vehicular networks (https://ieeexplore.ieee.org/document/6945323).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
