Classification of resource management approaches in fog/edge paradigm and future research prospects: a systematic review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-022-04338-1.pdf
Reference384 articles.
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2. Samanta A, Tang J (2020) Dyme: dynamic microservice scheduling in edge computing enabled IoT. IEEE Internet Things J 7(7):6164–6174. https://doi.org/10.1109/JIOT.2020.2981958
3. Pengfei H, Dhelim S, Ning H, Qiu T (2017) Survey on fog computing: architecture, key technologies, applications and open issues. J Netw Comput Appl 98:27–42. https://doi.org/10.1016/j.jnca.2017.09.002
4. Kansal P, Kumar D, Kumar M (2020) Introduction to fog data analytics for IoT applications. A book chapter publish in “Springer Singapore” with ISBN 978–981–15–6044–6.
5. Yousefpour A, Fung C, Nguyen T, Kadiyala K, Jalali F, Niakanlahiji A, Kong J, Jue JP (2019) All one needs to know about fog computing and related edge computing paradigms: a complete survey. J Syst Archit 98:289–330. https://doi.org/10.1016/j.sysarc.2019.02.009
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