基于資源區(qū)域聚集度的虛擬網(wǎng)映射算法

毛宇星; 郭云飛; 王志明; 扈紅超

doi:10.11999/JEIT150278

基于資源區(qū)域聚集度的虛擬網(wǎng)映射算法

doi: 10.11999/JEIT150278

1.
(解放軍理工大學(xué)指揮信息系統(tǒng)學(xué)院南京 210007) ②(國家數(shù)字交換系統(tǒng)工程技術(shù)研究中心鄭州 450002)

基金項目:

國家自然科學(xué)基金(61309020)，國家973計劃項目(2012CB315901, 2012CB315905)和國家863計劃項目(2011AA01A103)

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出版歷程
- 收稿日期: 2015-03-09
- 修回日期: 2015-06-16
- 刊出日期: 2015-10-19

Virtual Network Embedding Algorithm Based on Regional Resource Clustering Index

1.
(Command Information System Institute, PLA University of Science and Technology, Nanjing 210007, China)
2.
(National Digital Switching System Engineering &

Funds:

The National Natural Science Foundation of China (61309020)

摘要

摘要: 虛擬網(wǎng)映射是網(wǎng)絡(luò)虛擬化研究中亟待解決的問題，針對已有映射算法中存在的對于網(wǎng)絡(luò)拓?fù)湫畔⒗貌蛔愕默F(xiàn)狀，該文提出了基于資源區(qū)域聚集度的虛擬網(wǎng)映射算法(RCI-VNE)。在映射預(yù)處理階段，根據(jù)局部拓?fù)湫畔⒑蛥^(qū)域資源聚集度提出節(jié)點(diǎn)區(qū)域資源聚集評價算法。在節(jié)點(diǎn)映射階段，提出一種基于節(jié)點(diǎn)區(qū)域資源聚集排名的2-近鄰聚集映射算法，該算法將虛擬網(wǎng)節(jié)點(diǎn)集中映射到底層網(wǎng)絡(luò)中可用資源豐富的區(qū)域，減小承載鏈路的長度。實驗結(jié)果表明，該算法降低了虛擬網(wǎng)映射開銷，且具有較高的虛擬網(wǎng)請求接受率和較低的平均執(zhí)行時間。
- 網(wǎng)絡(luò)虛擬化 /
- 網(wǎng)絡(luò)虛擬化映射 /
- 拓?fù)湫畔?/a> /
- 區(qū)域資源聚集指數(shù)
Abstract: Virtual network embedding is a critical issue in network virtualization. To overcome the ignorance of network local topology information in existing literatures, a Virtual Network Embedding (VNE) algorithm based on regional Resource Clustering Index (RCI-VNE), is proposed. In embedding preprocessing stage, a node regional resource clustering index evaluation algorithm is proposed, which considers local topology information and resource aggregation extent. In node embedding stage, a 2-adjacent aggregation node embedding algorithm based on the regional resource clustering index is also proposed. The algorithm embeds virtual nodes intensively to the location of abundant resources in substrate network and decreases embedding cost. Simulation results show that the algorithm improves virtual network request acceptance ratio, long-time average revenue and benefit-cost ratio compared with the existing embedding algorithms.
- Network Virtualization /
- Virtualization Network Embedding (VNE) /
- Topology Information /
- Regional Resource Clustering Index (RCI)

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