AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
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Sundas Iftikhar , Sukhpal Singh Gill , Song, Chenghao , Xu, Minxian , Mohammad Sadegh Aslanpour , Toosi, Adel N , Du, Junhui , Wu, Huaming , Ghosh, Shreya , Chowdhury, Deepraj , Golec, Muhammed , Kumar, Mohit , Abdelmoniem, Ahmed M , Cuadrado, Felix , Varghese, Blesson , Rana, Omer , Dustdar, Schahram and Uhlig, Steve
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of fog/edge computing environments have made resource management even more challenging to be considered in the fog landscape. Recentl...
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AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
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TN_cdi_proquest_journals_2753448462
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2753448462
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2212.04645
