Toward efficient dynamic virtual network embedding strategy for cloud networks

Network virtualization is one of the most promising technologies for future networking and considered as a critical information technology resource that connects distributed, virtualized cloud computing services and different components such as storage, servers, and application. Network virtualizati...

Full description

Bibliographic Details
Main Authors: Duc-Lam Nguyen, Hyungho Byun, Naeon Kim, Chong-Kwon Kim
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2018-03-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718764789
_version_ 1797707847866253312
author Duc-Lam Nguyen
Hyungho Byun
Naeon Kim
Chong-Kwon Kim
author_facet Duc-Lam Nguyen
Hyungho Byun
Naeon Kim
Chong-Kwon Kim
author_sort Duc-Lam Nguyen
collection DOAJ
description Network virtualization is one of the most promising technologies for future networking and considered as a critical information technology resource that connects distributed, virtualized cloud computing services and different components such as storage, servers, and application. Network virtualization allows multiple virtual networks to coexist on the same shared physical infrastructure simultaneously. One of crucial factors in network virtualization is virtual network embedding which provisions a method to allocate physical substrate resources to virtual network requests. In this article, we investigate virtual network embedding strategies and related issues for resource allocation of an Internet provider to efficiently embed virtual networks that are requested by virtual network operators who share the same infrastructure provided by the Internet provider. In order to achieve that goal, we design a heuristic virtual network embedding algorithm that simultaneously embeds virtual nodes and virtual links of each virtual network request onto the physic infrastructure. Via extensive simulations, we demonstrate that our proposed scheme significantly improves the performance of virtual network embedding by enhancing the long-term average revenue as well as acceptance ratio and resource utilization of virtual network requests compared to prior algorithms.
first_indexed 2024-03-12T06:12:37Z
format Article
id doaj.art-474bdc512a5d44d798e97822bf410e70
institution Directory Open Access Journal
issn 1550-1477
language English
last_indexed 2024-03-12T06:12:37Z
publishDate 2018-03-01
publisher Hindawi - SAGE Publishing
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj.art-474bdc512a5d44d798e97822bf410e702023-09-03T02:50:16ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772018-03-011410.1177/1550147718764789Toward efficient dynamic virtual network embedding strategy for cloud networksDuc-Lam NguyenHyungho ByunNaeon KimChong-Kwon KimNetwork virtualization is one of the most promising technologies for future networking and considered as a critical information technology resource that connects distributed, virtualized cloud computing services and different components such as storage, servers, and application. Network virtualization allows multiple virtual networks to coexist on the same shared physical infrastructure simultaneously. One of crucial factors in network virtualization is virtual network embedding which provisions a method to allocate physical substrate resources to virtual network requests. In this article, we investigate virtual network embedding strategies and related issues for resource allocation of an Internet provider to efficiently embed virtual networks that are requested by virtual network operators who share the same infrastructure provided by the Internet provider. In order to achieve that goal, we design a heuristic virtual network embedding algorithm that simultaneously embeds virtual nodes and virtual links of each virtual network request onto the physic infrastructure. Via extensive simulations, we demonstrate that our proposed scheme significantly improves the performance of virtual network embedding by enhancing the long-term average revenue as well as acceptance ratio and resource utilization of virtual network requests compared to prior algorithms.https://doi.org/10.1177/1550147718764789
spellingShingle Duc-Lam Nguyen
Hyungho Byun
Naeon Kim
Chong-Kwon Kim
Toward efficient dynamic virtual network embedding strategy for cloud networks
International Journal of Distributed Sensor Networks
title Toward efficient dynamic virtual network embedding strategy for cloud networks
title_full Toward efficient dynamic virtual network embedding strategy for cloud networks
title_fullStr Toward efficient dynamic virtual network embedding strategy for cloud networks
title_full_unstemmed Toward efficient dynamic virtual network embedding strategy for cloud networks
title_short Toward efficient dynamic virtual network embedding strategy for cloud networks
title_sort toward efficient dynamic virtual network embedding strategy for cloud networks
url https://doi.org/10.1177/1550147718764789
work_keys_str_mv AT duclamnguyen towardefficientdynamicvirtualnetworkembeddingstrategyforcloudnetworks
AT hyunghobyun towardefficientdynamicvirtualnetworkembeddingstrategyforcloudnetworks
AT naeonkim towardefficientdynamicvirtualnetworkembeddingstrategyforcloudnetworks
AT chongkwonkim towardefficientdynamicvirtualnetworkembeddingstrategyforcloudnetworks