Multi-user Computation Partitioning for Latency Sensitive Mobile Cloud Applications
- Submitting institution
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University of Hertfordshire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 16421817
- Type
- D - Journal article
- DOI
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10.1109/TC.2014.2366735
- Title of journal
- IEEE Transactions on Computers
- Article number
- 6945323
- First page
- 2253
- Volume
- 64
- Issue
- 8
- ISSN
- 0018-9340
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- 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)
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-
- Citation count
- 111
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article has 2970 Full Text Views on IEEE Explore as of 11th Dec 2020. It has motivated the HK RGC General Research Fund (GRF) entitled Task Partition and Migration for High Performance Collaborative Edge Computing (01/2020-12/2022, HK$851,290, PI: Prof Jiannong Cao in Hong Kong Polytechnic University). It has influenced research work in 5G Heterogeneous networks in Simula Research Laboratory led by Prof Yan Zhang in Oslo, Norway.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -