Virtual network embedding with adaptive modulation in flexi-grid networks

Network virtualization has been proposed as a promising method to mitigate the ossification of the Internet by allowing multiple heterogeneous virtual networks (VNs) to coexist on a shared substrate network. One of the major challenges in this method is the VN embedding (VNE) problem of how to map e...

Full description

Saved in:
Bibliographic Details
Main Authors: Lin, Rongping, Luo, Shan, Zhou, Jingwei, Wang, Sheng, Cai, Anliang, Zhong, Wen-De, Zukerman, Moshe
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/141280
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-141280
record_format dspace
spelling sg-ntu-dr.10356-1412802020-06-05T08:01:14Z Virtual network embedding with adaptive modulation in flexi-grid networks Lin, Rongping Luo, Shan Zhou, Jingwei Wang, Sheng Cai, Anliang Zhong, Wen-De Zukerman, Moshe School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Flexi-grid Optical Network Integer Linear Programming Network virtualization has been proposed as a promising method to mitigate the ossification of the Internet by allowing multiple heterogeneous virtual networks (VNs) to coexist on a shared substrate network. One of the major challenges in this method is the VN embedding (VNE) problem of how to map efficiently the virtual nodes and links onto the substrate network considering constraints associated with different substrate networks. This paper aims to solve the VNE problem with geographical constraints in the context of flexi-grid optical networks where modulation modes can be selected optimally. We provide an integer linear programming (ILP) formulation for the problem with the objective function of minimizing the embedding cost of an arriving VN. To achieve scalability, we also propose three polynomial-time heuristic algorithms where virtual links are embedded sequentially by three different sequences, respectively. We find that the sequence considering the bandwidth requirements of the virtual links outperforms the others. Such a sequence leads to a cost-effective VNE solution in terms of spectrum resource usage, which aims to optimize modulation modes and transmission distances of the virtual links that have high bandwidth requirements. Numerical results show that the heuristic algorithm with the sequence considering the bandwidth requirements performs closely to the ILP for a small size network, and we also demonstrate its applicability to larger networks. 2020-06-05T08:01:14Z 2020-06-05T08:01:14Z 2017 Journal Article Lin, R., Luo, S., Zhou, J., Wang, S., Cai, A., Zhong, W.-D., & Zukerman, M. (2018). Virtual network embedding with adaptive modulation in flexi-grid networks. Journal of Lightwave Technology, 36(17), 3551-3563. doi:10.1109/JLT.2017.2764940 0733-8724 https://hdl.handle.net/10356/141280 10.1109/JLT.2017.2764940 2-s2.0-85050024182 17 36 3551 3563 en Journal of Lightwave Technology © 2017 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Flexi-grid Optical Network
Integer Linear Programming
spellingShingle Engineering::Electrical and electronic engineering
Flexi-grid Optical Network
Integer Linear Programming
Lin, Rongping
Luo, Shan
Zhou, Jingwei
Wang, Sheng
Cai, Anliang
Zhong, Wen-De
Zukerman, Moshe
Virtual network embedding with adaptive modulation in flexi-grid networks
description Network virtualization has been proposed as a promising method to mitigate the ossification of the Internet by allowing multiple heterogeneous virtual networks (VNs) to coexist on a shared substrate network. One of the major challenges in this method is the VN embedding (VNE) problem of how to map efficiently the virtual nodes and links onto the substrate network considering constraints associated with different substrate networks. This paper aims to solve the VNE problem with geographical constraints in the context of flexi-grid optical networks where modulation modes can be selected optimally. We provide an integer linear programming (ILP) formulation for the problem with the objective function of minimizing the embedding cost of an arriving VN. To achieve scalability, we also propose three polynomial-time heuristic algorithms where virtual links are embedded sequentially by three different sequences, respectively. We find that the sequence considering the bandwidth requirements of the virtual links outperforms the others. Such a sequence leads to a cost-effective VNE solution in terms of spectrum resource usage, which aims to optimize modulation modes and transmission distances of the virtual links that have high bandwidth requirements. Numerical results show that the heuristic algorithm with the sequence considering the bandwidth requirements performs closely to the ILP for a small size network, and we also demonstrate its applicability to larger networks.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Lin, Rongping
Luo, Shan
Zhou, Jingwei
Wang, Sheng
Cai, Anliang
Zhong, Wen-De
Zukerman, Moshe
format Article
author Lin, Rongping
Luo, Shan
Zhou, Jingwei
Wang, Sheng
Cai, Anliang
Zhong, Wen-De
Zukerman, Moshe
author_sort Lin, Rongping
title Virtual network embedding with adaptive modulation in flexi-grid networks
title_short Virtual network embedding with adaptive modulation in flexi-grid networks
title_full Virtual network embedding with adaptive modulation in flexi-grid networks
title_fullStr Virtual network embedding with adaptive modulation in flexi-grid networks
title_full_unstemmed Virtual network embedding with adaptive modulation in flexi-grid networks
title_sort virtual network embedding with adaptive modulation in flexi-grid networks
publishDate 2020
url https://hdl.handle.net/10356/141280
_version_ 1681059015430242304