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Energy aware optimization of mobile metro-core network under predictable aggregated traffic patterns.

, , , , and . ICC, page 1-7. IEEE, (2016)

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ClubMED: Coordinated Multi-Exit Discriminator Strategies for Peering Carriers., , , , and . NGI, page 1-8. IEEE, (2009)Portable MiniLab for Hands-on Experimentation with Software Defined Networking., , , , and . ConTEL, page 1-7. IEEE, (2019)Reinforcement Learning for Service Function Chain Reconfiguration in NFV-SDN Metro-Core Optical Networks., , and . IEEE Access, (2019)Identification of tidal-traffic patterns in metro-area mobile networks via Matrix Factorization based model., , , , and . PerCom Workshops, page 297-301. IEEE, (2017)Traffic-profile and machine learning based regional data center design and operation for 5G network., , , , and . J. Commun. Networks, 21 (6): 569-583 (2019)Optical Network Survivability: Protection Techniques in the WDM Layer., , , and . Photonic Netw. Commun., 4 (3-4): 251-269 (2002)AWG-based Nonblocking Shuffle-Exchange Networks., , , and . CoRR, (2019)Inter-controller traffic in ONOS clusters for SDN networks., , , and . ICC, page 1-6. IEEE, (2016)On Deep Reinforcement Learning for Traffic Engineering in SD-WAN., , , and . IEEE J. Sel. Areas Commun., 39 (7): 2198-2212 (2021)Machine Learning-Based Routing and Wavelength Assignment in Software-Defined Optical Networks., , , , , , , and . IEEE Trans. Netw. Serv. Manag., 16 (3): 871-883 (2019)