Implemented Algorithms#

Virne has implemented the following heuristic-based and learning-based algorithms:

Simple Baseline Solvers#

Name

Command

Mapping

Random Rank

random_rank

two-stage

Random Joint Place and Route

random_joint_pr

joint_pr

Random Rank Breath First Search

random_bfs_trials

bfs_trials

Order Rank

order_rank

two-stage

Order Joint Place and Route

order_joint_pr

joint_pr

Order Rank Breath First Search

order_bfs_trials

bfs_trials

First Fit Decreasing Rank

ffd_rank

two-stage

First Fit Decreasing Joint Place and Route

ffd_joint_pr

joint_pr

First Fit Decreasing Rank Breath First Search

ffd_bfs_trials

bfs_trials

Learning-based Solvers#

Name

Command

Type

Mapping

Title

Publication

Year

Note

PG-CNN2

pg_cnn2

learning

two-stage

A Virtual Network EmbeddingAlgorithm Based On Double-LayerReinforcement Learning

The Computer Journal

2022

A3C-G3C-Seq2Seq*

a3c_gcn_seq2seq

learning

joint_pr

DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning

ICC

2021

PG-CNN-QoS

pg_cnn_qos

learning

two-stage

Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm

IoTJ

2021

PG-Seq2Seq

pg_seq2seq

learning

joint_pr

A Continuous-Decision Virtual Network Embedding Scheme Relying on Reinforcement Learning

TNSM

2020

GAE-Clustering

gae_clustering

learning

bfs_trials

Accelerating Virtual Network Embedding with Graph Neural Networks

CNSM

2020

Clustering

PG-MLP

pg_mlp

learning

joint_pr

NFVdeep: adaptive online service function chain deployment with deep reinforcement learning.

IWQOS

2019

Hopfield-Network

hopfield_network

learning

two-stage

NeuroViNE: A Neural Preprocessor for Your Virtual Network Embedding Algorithm

INFOCOM

2018

Subgraph Extraction

PG-CNN

pg_cnn

learning

two-stage

A Novel Reinforcement Learning Algorithm for Virtual Network Embedding

Neurocomputing

2018

MCTS

mcts

learning

two-stage

Virtual Network Embedding via Monte Carlo Tree Search

TCYB

2018

MultiThreading Support

* means that the algorithm only supports chain-shape virtual networks embedding

Meta-heuristics Solvers#

Name

Command

Type

Mapping

Title

Publication

Year

Note

NodeRanking-MetaHeuristic

**_**

meta-heuristics

joint

Virtual network embedding through topology awareness and optimization

CN

2012

MultiThreading Support

Genetic-Algorithm

ga

meta-heuristics

two-stage

Virtual network embedding based on modified genetic algorithm

Peer-to-Peer Networking and Applications

2019

MultiThreading Support

Tabu-Search

ts

meta-heuristics

joint

Virtual network forwarding graph embedding based on Tabu Search

WCSP

2017

MultiThreading Support

ParticleSwarmOptimization

pso

meta-heuristics

two-stage

Energy-Aware Virtual Network Embedding

TON

2014

MultiThreading Support

Ant-Colony-Optimization

aco

meta-heuristics

joint

Link mapping-oriented ant colony system for virtual network embedding

CEC

2017

MultiThreading Support

AntColony-Optimization

aco

meta-heuristics

joint

VNE-AC: Virtual Network Embedding Algorithm Based on Ant Colony Metaheuristic

ICC

2011

MultiThreading Support

Simulated-Annealing

sa

meta-heuristics

two-stage

FELL: A Flexible Virtual Network Embedding Algorithm with Guaranteed Load Balancing

ICC

2011

MultiThreading Support

Other Related Papers

  • Particle Swarm Optimization

    • Xiang Cheng et al. “Virtual network embedding through topology awareness and optimization”. CN, 2012.

    • An Song et al. “A Constructive Particle Swarm Optimizer for Virtual Network Embedding”. TNSE, 2020.

  • Genetic Algorithm

    • Liu Boyang et al. “Virtual Network Embedding Based on Hybrid Adaptive Genetic Algorithm” In ICCC, 2019.

    • Khoa T.D. Nguyen et al. “An Intelligent Parallel Algorithm for Online Virtual Network Embedding”. In CITS, 2019.

    • Khoa Nguyen et al. “Efficient Virtual Network Embedding with Node Ranking and Intelligent Link Mapping”. In CloudNet, 2020.

    • Khoa Nguyen et al. “Joint Node-Link Algorithm for Embedding Virtual Networks with Conciliation Strategy”. In GLOBECOM, 2021.

  • Ant Colony Optimization

    • N/A

Heuristics-based Solvers#

Name

Command

Type

Mapping

Title

Publication

Year

Note

PL (Priority of Location)

pl_rank

heuristics

two-stage

Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks

TPDS

2021

NRM (Node Resource Management)

nrm_rank

heuristics

two-stage

Virtual Network Embedding Based on Computing, Network, and Storage Resource Constraints

IoTJ

2018

GRC (Global resource capacity)

grc_rank

heuristics

two-stage

Toward Profit-Seeking Virtual Network Embedding Algorithm via Global Resource Capacity

INFOCOM

2014

RW-MaxMatch (NodeRank)

rw_rank

heuristics

two-stage

Virtual Network Embedding Through Topology-Aware Node Ranking

ACM SIGCOMM Computer Communication Review

2011

RW-BFS (NodeRank)

rw_rank_bfs

heuristics

bfs_trials

Virtual Network Embedding Through Topology-Aware Node Ranking

ACM SIGCOMM Computer Communication Review

2011

Exact Solvers#

Name

Command

Type

Mapping

Title

Publication

Year

Note

MIP (Mixed-Integer Programming)

mip

exact

joint

ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping

TON

2012

D-Rounding (Deterministic Rounding)

d_rounding

exact

joint

ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping

TON

2012

R-Rounding (Random Rounding)

r_rounding

exact

joint

ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping

TON

2012