Online learning and adaptation of network hypervisor performance models

@article{Sieber2017OnlineLA,
  title={Online learning and adaptation of network hypervisor performance models},
  author={Christian Sieber and Andreas Obermair and Wolfgang Kellerer},
  journal={2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)},
  year={2017},
  pages={1204-1212}
}
Software Defined Networking (SDN) paved the way for a logically centralized entity, the SDN controller, to excerpt near real-time control over the forwarding state of a network. Network hypervisors are an in-between layer to allow multiple SDN controllers to share this control by slicing the network and giving each controller the power over a part of the network. This makes network hypervisors a critical component in terms of reliability and performance. At the same time, compute virtualization… CONTINUE READING