Neural Graphs: an Effective Solution for the Resource Allocation in NFV Sites interconnected by Elastic Optical Networks
Author:
Affiliation:
1. "Sapienza" University of Rome,DIET,Rome,Italy,00184
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10207167/10207171/10207206.pdf?arnumber=10207206
Reference13 articles.
1. Optimizing the Cloud Resources, Bandwidth and Deployment Costs in Multi-Providers Network Function Virtualization Environment
2. Application of a Long Short Term Memory neural predictor with asymmetric loss function for the resource allocation in NFV network architectures
3. Reconfiguration of Optical-NFV Network Architectures Based on Cloud Resource Allocation and QoS Degradation Cost-Aware Prediction Techniques
4. Traffic-GGNN: Predicting Traffic Flow via Attentional Spatial-Temporal Gated Graph Neural Networks
5. Network Virtualization in Spectrum Sliced Elastic Optical Path Networks
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