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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718764789 |
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| _version_ | 1832547216348151808 |
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| 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. |
| format | Article |
| id | doaj-art-474bdc512a5d44d798e97822bf410e70 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-474bdc512a5d44d798e97822bf410e702025-02-03T06:45:34ZengWileyInternational 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 |