The Future of Next Generation Web: Juxtaposing Machine Learning and Deep Learning-Based Web Cache Replacement Models in Web Caching Systems-Reference-Cited by-同舟云学术

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The Future of Next Generation Web: Juxtaposing Machine Learning and Deep Learning-Based Web Cache Replacement Models in Web Caching Systems

Published:2023 Issue: Volume: Page:426-450
ISSN:2367-3370
Container-title:Networks and Systems in Cybernetics
language:
Short-container-title:

Author:

Mbunge Elliot,Batani John,Fashoto Stephen Gbenga,Akinnuwesi Boluwaji,Gurajena Caroline,Opeyemi Ogunleye Gabriel,Metfula Andile,Ncube Zenzo Polite

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-35317-8_39

Reference104 articles.

1. Hou, R.: Performance analysis of cache replacement algorithm in information center network and construction of electronic music composition system. Alex. Eng. J. 61, 863–872 (2022). https://doi.org/10.1016/J.AEJ.2021.04.082

2. Li, C., Zhang, Y., Luo, Y.: Intermediate data placement and cache replacement strategy under Spark platform. J. Parallel Distrib. Comput. 163, 114–135 (2022). https://doi.org/10.1016/J.JPDC.2022.01.020

3. Wu, H., Luo, Y., Li, C.: Optimization of heat-based cache replacement in edge computing system. J. Supercomput. 77, 2268–2301 (2021). https://doi.org/10.1007/S11227-020-03356-1/FIGURES/18

4. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54, 2787–2805 (2010). https://doi.org/10.1016/j.comnet.2010.05.010

5. Colombo, A.W., Karnouskos, S., Kaynak, O., Shi, Y., Yin, S.: Industrial cyberphysical systems: a backbone of the fourth industrial revolution. IEEE Ind. Electron. Mag. 11, 6–16 (2017). https://doi.org/10.1109/MIE.2017.2648857

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1. Toward an Eﬃcient in-Network Caching Using Federated Learning;2023 5th International Conference on Pattern Analysis and Intelligent Systems (PAIS);2023-10-25

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