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An end-to-end programmable platform for dynamic service creation in 5G networks., , , , , , , , и . OFC, стр. 1-2. IEEE, (2017)Demonstration of Resource Orchestration Using Big Data Analytics for Dynamic Slicing in 5G Networks., , , , , , и . ECOC, стр. 1-3. IEEE, (2018)Orchestration Strategies for Slicing in 5G Networks: Design and Performance Evaluation.. Royal Institute of Technology, Stockholm, Sweden, (2018)base-search.net (ftkthstockholm:oai:DiVA.org:kth-235262).A Slice Admission Policy Based on Big Data Analytics for Multi-Tenant 5G Networks, , , и . Journal of Lightwave Technology, (2019)QC 20180920.Machine Learning Methods for Slice Admission in 5G Networks., , , и . OECC/PSC, стр. 1-3. IEEE, (2019)Benefits of programmability in 5G transport networks., , , , , и . OFC, стр. 1-3. IEEE, (2017)A Slice Admission Policy Based on Reinforcement Learning for a 5G Flexible RAN., , , , и . ECOC, стр. 1-3. IEEE, (2018)Power and cost modeling for 5G transport networks., , , , , и . ICTON, стр. 1-7. IEEE, (2015)Priority-Aware Service Orchestration Using Big Data Analytics for Dynamic Slicing in 5G Transport Networks., , , , , и . ECOC, стр. 1-3. IEEE, (2017)Resource Orchestration Meets Big Data Analytics: The Dynamic Slicing Use Case., , , и . ECOC, стр. 1-3. IEEE, (2018)