Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence
Author:
Funder
RIF Grant
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-022-03572-9.pdf
Reference34 articles.
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2. Lu, H., He, X., Du, M., Ruan, X., Sun, Y., Wang, K.: Edge QoE: computation offloading with deep reinforcement learning for Internet of Things. IEEE Internet Things J. 7(10), 9255–9265 (2020)
3. Deng, S., Zhao, H., Fang, W., Yin, J., Dustdar, S., Zomaya, A.Y.: Edge intelligence: the confluence of edge computing and artificial intelligence. IEEE Internet Things J. 7(8), 7457–7469 (2020)
4. Hayyolalam, V., Aloqaily, M., Ozkasap, O., Guizani, M.: Edge intelligence for empowering IoT-based healthcare systems. IEEE Wirel. Commun. Mag. (2021). https://doi.org/10.48550/arXiv.2103.12144
5. Hayyolalam, V., Aloqaily, M., Özkasap, Ö., Guizani, M.: Edge-assisted solutions for IoT-based connected healthcare systems: a literature review. IEEE Internet Things J. 3, 1 (2021). https://doi.org/10.1109/JIOT.2021.3135200
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