Stars
Algorithms and simulation tools for the Service Function Chain Embedding problem.
use actor-critic and pointer network to solve SFC embedding
Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resour…
A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization
Official implementation of the paper "Sparse Feature Factorization for Recommender Systems with Knowledge Graphs"
ILP-based algorithm to solve the problem of SFC embedding.
[ICC'21 - DRL-SFCP] Implementation of our paper "DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning", accepted by ICC 2021.
A multi-objective heuristic for VNF chain placement.
Set of algorithm dealing with the problems of VNF placement, SFC/VNF-FG placement and chaining, VNF scaling....
Virtual Network Function placement optimization with Deep Reinforcement Learning
simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper
NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains
Accompanying code for the 2019 CNSM paper "Predicting VNF Deployment Decisions under Dynamically Changing Network Conditions".