A effective two-step strategy of multi-domain virtual network embedding in 5G network slicing

2017 ◽  
Author(s):  
Xiaolei Wang ◽  
Qiang Chen ◽  
Hang Qiu
Keyword(s):  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Network Slicing ◽  
5G Network

scholarly journals Virtual Network Embedding for Multi-Domain Heterogeneous Converged Optical Networks: Issues and Challenges

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2655 ◽  
Author(s):  
Yue Zong ◽  
Chuan Feng ◽  
Yingying Guan ◽  
Yejun Liu ◽  
Lei Guo
Keyword(s):  
Optical Networks ◽  
Network Architecture ◽  
Performance Metrics ◽  
Network Virtualization ◽  
Virtual Network ◽  
Future Research ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Research Issues ◽  
Network Slicing

The emerging 5G applications and the connectivity of billions of devices have driven the investigation of multi-domain heterogeneous converged optical networks. To support emerging applications with their diverse quality of service requirements, network slicing has been proposed as a promising technology. Network virtualization is an enabler for network slicing, where the physical network can be partitioned into different configurable slices in the multi-domain heterogeneous converged optical networks. An efficient resource allocation mechanism for multiple virtual networks in network virtualization is one of the main challenges referred as virtual network embedding (VNE). This paper is a survey on the state-of-the-art works for the VNE problem towards multi-domain heterogeneous converged optical networks, providing the discussion on future research issues and challenges. In this paper, we describe VNE in multi-domain heterogeneous converged optical networks with enabling network orchestration technologies and analyze the literature about VNE algorithms with various network considerations for each network domain. The basic VNE problem with various motivations and performance metrics for general scenarios is discussed. A VNE algorithm taxonomy is presented and discussed by classifying the major VNE algorithms into three categories according to existing literature. We analyze and compare the attributes of algorithms such as node and link embedding methods, objectives, and network architecture, which can give a selection or baseline for future work of VNE. Finally, we explore some broader perspectives in future research issues and challenges on 5G scenario, field trail deployment, and machine learning-based algorithms.

scholarly journals On the Use of Graph Neural Networks for Virtual Network Embedding

2020 ◽  
Author(s):  
Anouar Rkhami ◽  
Tran Anh Quang Pham ◽  
Yassine Hadjadj-Aoul ◽  
Abdelkader Outtagarts ◽  
Gerardo Rubino
Keyword(s):  
Neural Networks ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Graph Neural Networks

Latency-Aware Virtual Network Embedding using Clusters for Green Fog Computing

2020 ◽  
Author(s):  
Bartosz Kopras ◽  
Filip Idzikowski ◽  
Wei-Che Chen ◽  
Te-Jen Wang ◽  
Chun-Ting Chou ◽  
...  
Keyword(s):  
Fog Computing ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding

A Novel Reactive Survivable Virtual Network Embedding Scheme Based on Game Theory

2017 ◽  
Vol 14 (3) ◽  
pp. 569-585 ◽  
Author(s):  
Oussama Soualah ◽  
Nadjib Aitsaadi ◽  
Ilhem Fajjari
Keyword(s):  
Game Theory ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding

Virtual network embedding by exploiting topological information

2012 ◽  
Author(s):  
Zihou Wang ◽  
Yanni Han ◽  
Tao Lin ◽  
Hui Tang ◽  
Song Ci
Keyword(s):  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding ◽  
Topological Information

Topology-aware virtual network embedding based on closeness centrality

2013 ◽  
Vol 7 (3) ◽  
pp. 446-457 ◽  
Author(s):  
Zihou Wang ◽  
Yanni Han ◽  
Tao Lin ◽  
Yuemei Xu ◽  
Song Ci ◽  
...  
Keyword(s):  
Closeness Centrality ◽  
Virtual Network ◽  
Virtual Network Embedding ◽  
Network Embedding
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