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Dynamic embedding of workflow requests for bandwidth efficiency in data centers.

, , and . Comput. Networks, (2016)

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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)Service Chain Embedding for Diversified 5G Slices With Virtual Network Function Sharing., , and . IEEE Commun. Lett., 23 (5): 826-829 (2019)On Multiple Controller Mapping in Software Defined Networks With Resilience Constraints., , and . IEEE Commun. Lett., 21 (8): 1763-1766 (2017)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)Machine Learning-based Link Fault Identification and Localization in Complex Networks., , and . CoRR, (2018)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)Fault tolerance in TCAM-limited software defined networks., , and . Comput. Networks, (2017)Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation., , , , and . CoRR, (2024)A federated deep learning framework for privacy preservation and communication efficiency., , , and . J. Syst. Archit., (2022)