Real-Time AI in Social Edge-Reference-Cited by-同舟云学术

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Real-Time AI in Social Edge

Published:2023 Issue: Volume: Page:71-96
ISSN:
Container-title:Social Edge Computing
language:
Short-container-title:

Author:

Wang Dong,Zhang Daniel ‘Yue’

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26936-3_5

Reference50 articles.

1. M. Albrecht, P. Donnelly, P. Bui, D. Thain, Makeflow: a portable abstraction for data intensive computing on clusters, clouds, and grids, in Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies (ACM, 2012), p. 1

2. Aws Deeplens, https://aws.amazon.com/deeplens/. Accessed 23 Apr 2019

3. S. Bateni, C. Liu, Apnet: approximation-aware real-time neural network, in 2018 IEEE Real-Time Systems Symposium (RTSS) (IEEE, 2018), pp. 67–79

4. A. Bellanger, A. Janiak, M.Y. Kovalyov, A. Oulamara, Scheduling an unbounded batching machine with job processing time compatibilities. Discret. Appl. Math. 160(1–2), 15–23 (2012)

5. J. Chen, L.K. John, Efficient program scheduling for heterogeneous multi-core processors, in Proceedings of the 46th Annual Design Automation Conference (ACM, 2009), pp. 927–930

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1. Edge AI in Cloud Computing for Sustainable Development;Advances in Environmental Engineering and Green Technologies;2023-12-29

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