… provide main network resource management categories that … computing, Network service
system, and Network production … analysis on the network resource management is provided in …

… and IoT networks. We start with the challenges of resource management in cellular IoT and
low-power IoT networks, review the traditional resource management mechanisms for IoT …

… for leveraging machine learning-enabled resource classification and management through
… evaluate the performance of machine learning based resource management on real traffic. …

… -tenancy business case where network slices are provided as a … resource management in
network slicing, namely the slice admission control and the cross-slice resource management, …

… networking resources in the SDI. The resource orchestrator administers the physical and
virtual resources, while the SDN controller facilitates automated and flexible configuration of the …

… network (TDNN), and LSTM machine learning strategies; concluding that LSTM is more
suitable because its performance does not depend on the number of previous time-steps used in …

… resource management approaches based on ML techniques. Several surveys introduce
network … the application of ML in network slicing for resource management. More concretely, …

… edge computing resource management framework does not require any prior knowledge
on the network dynamics or statistics. It can automatically learn the network dynamics and …

… , resource optimisation, and energy optimisation, among others. This paper provides a detailed
review of machine learning-based resource management … , and machine learning use in …

… ask if machine learning can provide a viable alternative to human-generated heuristics for
resource management. In other words: Can systems learn to manage resources on their own? …