AI-based fog and edge computing: A systematic review, taxonomy and future directions
University of Azad Jammu and Kashmir · Queen Mary University of London · +15 more institutions
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Abstract
No abstract available for this paper.
Citation impact
239
total citations
- FWCI
- 30.62
- Percentile
- 100%
- References
- 296
Citations per year
Authors
18- SISundas Iftikhar
University of Azad Jammu and Kashmir, Queen Mary University of London
- SSSukhpal Singh GillCorresponding
Queen Mary University of London
- CSChenghao Song
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- MXMinxian Xu
Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology
- MSMohammad Sadegh Aslanpour
Commonwealth Scientific and Industrial Research Organisation, Data61, Monash University
Topics & keywords
Topics
Keywords
- Computer science
- Edge computing
- Reinforcement learning
- Artificial intelligence
- Workload
- Machine learning
- Taxonomy (biology)
- Enhanced Data Rates for GSM Evolution
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