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The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective.

, , , , , , and . IEEE Wirel. Commun., 24 (3): 146-153 (2017)

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Efficient query bundling mechanism in a DHT network., , , and . GLOBECOM, page 2695-2700. IEEE, (2012)Redesigning the Nonblocking Clos Network to Increase Its Capacity., , , and . IEEE Trans. Netw. Serv. Manag., 20 (3): 2558-2574 (September 2023)State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems., , , , , , and . IEEE Commun. Surv. Tutorials, 19 (4): 2432-2455 (2017)A Tensor Based Deep Learning Technique for Intelligent Packet Routing., , , , , , and . GLOBECOM, page 1-6. IEEE, (2017)Reducing dense virtual networks for fast embedding., , , and . INFOCOM, page 1-9. IEEE, (2016)Measuring Lost Packets with Minimum Counters in Traffic Matrix Estimation., , , , , and . IEICE Trans. Commun., 102-B (1): 76-87 (2019)Testaments for resilient structured overlay networks., , , , , and . APCC, page 514-518. IEEE, (2015)Towards a Low-Delay Edge Cloud Computing through a Combined Communication and Computation Approach., , , , , , and . VTC Fall, page 1-5. IEEE, (2016)A Proposal of an Efficient Traffic Matrix Estimation Under Packet Drops., , , , , and . ICDCS, page 2636-2637. IEEE Computer Society, (2017)A Geometric Windowing Algorithm in Network Data-Plane Verification., , , , , and . ICDCS, page 743-744. IEEE Computer Society, (2016)