Intelligent Predicting Method for Optimizing Remote Loading Efficiency in Edge Service Migration
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s11036-022-02002-9.pdf
Reference16 articles.
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2. Ranjan A, Guim F, Chincholkar M, Ramchandran P, Mishra R, Ranganath S (2021) Convergence of edge services amp; edge infrastructure. In: 2021 IEEE conference on network function virtualization and software defined networks (NFV-SDN), pp 96–99. https://doi.org/10.1109/NFV-SDN53031.2021.9665021
3. Liang Q, Shenoy P, Irwin D (2020) Ai on the edge: Characterizing ai-based iot applications using specialized edge architectures. In: 2020 IEEE International symposium on workload characterization (IISWC), pp 145–156. https://doi.org/10.1109/IISWC50251.2020.00023
4. Li Y, Xu L (2019) The service computational resource management strategy based on edge-cloud collaboration. In: 2019 IEEE 10Th international conference on software engineering and service science (ICSESS), pp. 400–404. https://doi.org/10.1109/ICSESS47205.2019.9040830
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