QoS-Aware Task Offloading in Fog Environment Using Multi-agent Deep Reinforcement Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Computer Networks and Communications,Hardware and Architecture,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s10922-022-09696-y.pdf
Reference53 articles.
1. Gupta, A., Singh, A.: An intelligent healthcare cyber physical framework for encephalitis diagnosis based on information fusion and soft-computing techniques. New Gener. Comput. (2022). https://doi.org/10.1007/s00354-022-00175-1
2. Natesha, B., Guddeti, R.M.R.: Meta-heuristic based hybrid service placement strategies for two-level fog computing architecture. J. Netw. Syst. Manage. 30(3), 1–23 (2022)
3. Jing, W., Zhao, C., Miao, Q., Song, H., Chen, G.: Qos-dpso: Qos-aware task scheduling for cloud computing system. J. Netw. Syst. Manage. 29(1), 1–29 (2021)
4. Talaat, F.M., Ali, S.H., Saleh, A.I., Ali, H.A.: Effective load balancing strategy (elbs) for real-time fog computing environment using fuzzy and probabilistic neural networks. J. Netw. Syst. Manage. 27(4), 883–929 (2019)
5. Singh, P., Singh, R.: Energy-efficient delay-aware task offloading in fog-cloud computing system for iot sensor applications. J. Netw. Syst. Manage. 30(1), 1–25 (2022)
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