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Fast and Adaptive Failure Recovery using Machine Learning in Software Defined Networks.

, , , and . ICC Workshops, page 1-6. IEEE, (2019)

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Virtual Network Embedding in Ring Optical Data Centers Using Markov Chain Probability Model., , and . IEEE Trans. Network and Service Management, 16 (4): 1724-1738 (2019)On Multiple Controller Mapping in Software Defined Networks With Resilience Constraints., , and . IEEE Commun. Lett., 21 (8): 1763-1766 (2017)Service Chain Embedding for Diversified 5G Slices With Virtual Network Function Sharing., , and . IEEE Commun. Lett., 23 (5): 826-829 (2019)Crossfire Attack Detection Using Deep Learning in Software Defined ITS Networks., , , and . VTC Spring, page 1-6. IEEE, (2019)Adaptive Bandwidth Allocation for Virtual Network Embedding in Optical Data Center Networks., , and . LCN, page 316-324. IEEE Computer Society, (2016)Workflow-based applications performance and execution cost optimization on cloud infrastructures. (Optimisation des performances et du coût de flots applicatifs s'exécutant sur des infrastructures de cloud).. University of Nice Sophia Antipolis, France, (2010)Machine Learning-based Link Fault Identification and Localization in Complex Networks., , and . CoRR, (2018)Fault tolerance in TCAM-limited software defined networks., , and . Comput. Networks, (2017)A federated deep learning framework for privacy preservation and communication efficiency., , , and . J. Syst. Archit., (2022)Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation., , , , and . CoRR, (2024)