Depth-Optimized Delay-Aware Tree (DO-DAT) for Virtual Network Function Placement

no code implementations • 2 Jun 2020 • Dimitrios Michael Manias, Hassan Hawilo, Manar Jammal, Abdallah Shami

With the constant increase in demand for data connectivity, network service providers are faced with the task of reducing their capital and operational expenses while ensuring continual improvements to network performance.

Machine Learning for Performance-Aware Virtual Network Function Placement

no code implementations • 13 Jan 2020 • Dimitrios Michael Manias, Manar Jammal, Hassan Hawilo, Abdallah Shami, Parisa Heidari, Adel Larabi, Richard Brunner

The model takes several performance-related features from the network as an input and selects the placement of the various VNF instances on network servers with the objective of minimizing the delay between dependent VNF instances.

BIG-bench Machine Learning