A reinforcement learning-based load balancing algorithm for fog computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-023-01049-7.pdf
Reference47 articles.
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2. Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019). All one needs to know about fog computing and related edge computing paradigms: A complete survey. Journal of Systems Architecture, 98, 289–330.
3. Kashani, M. H., & Mahdipour, E. (2023). Load balancing algorithms in fog computing. IEEE Transactions on Services Computing, 16, 1505–1521.
4. Kashyap, V., & Kumar, A. (2022). Load balancing techniques for fog computing environment: Comparison, taxonomy, open issues, and challenges. Concurrency and Computation: Practice and Experience, 34(23), e7183.
5. Jamil, B., Ijaz, H., Shojafar, M., Munir, K., & Buyya, R. (2022). Resource allocation and task scheduling in fog computing and internet of everything environments: a taxonomy, review, and future directions. ACM Computing Surveys, 54, 1–38. https://doi.org/10.1145/3513002
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