Fault Tolerant Robust Adaptive Workload Orchestration in Pure Edge Computing
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-55326-4_18
Reference21 articles.
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2. Chattopadhyay, S., Chatterjee, S., Nandi, S., Chakraborty, S.: Aloe: fault-tolerant network management and orchestration framework for IoT applications. IEEE Trans. Netw. Serv. Manag. 17(4), 2396–2409 (2020). https://doi.org/10.1109/TNSM.2020.3008426
3. Dai, H., Zeng, X., Yu, Z., Wang, T.: A scheduling algorithm for autonomous driving tasks on mobile edge computing servers. J. Syst. Archit. 94, 14–23 (2019)
4. Drolia, U., et al.: The case for mobile edge-clouds. In: 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, pp. 209–215. IEEE (2013)
5. Fadahunsi, O., Ma, Y., Maheswaran, M.: Edge scheduling framework for real-time and non real-time tasks. In: Proceedings of the 36th Annual ACM Symposium on Applied Computing, pp. 719–728 (2021)
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