基于全局资源信息的收益驱动虚拟网络嵌入

Long Gong, Yonggang Wen, Zuqing Zhu, T. Lee
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引用次数: 19

摘要

虚拟网络嵌入(VNE)作为网络虚拟化的关键步骤,近年来受到了研究界的广泛关注。在本文中,我们提出了一种新的VNE算法,旨在利用全局资源信息,使基础设施提供商从服务虚拟网络请求中获得的收益最大化。该算法被命名为收益驱动VNE (revenue-driven VNE, RD-VNE),采用节点排序方法,以递归方式考虑全局资源信息,辅助贪婪节点映射,并利用最短路径路由进行链路映射。我们的仿真结果表明,所提出的VNE算法在请求阻塞概率方面优于两种考虑全局资源信息的现有VNE算法,并为基础设施提供商(InP)带来更高的时间平均收入。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revenue-driven virtual network embedding based on global resource information
Virtual network embedding (VNE), working as a key step for network virtualization, has recently gained intensive attentions from the research community. In this paper, we propose a novel VNE algorithm that aims to maximize the infrastructure provider's revenue from serving virtual network (VN) requests, with the help of the global resource information. The proposed algorithm, named as revenue-driven VNE (RD-VNE), adopts a node-ranking approach that takes the global resource information into account in a recursive manner to assist the greedy node mapping, and leverages the shortest-path routing for link mapping. Our simulation results suggest that the proposed VNE algorithm outperforms two existing VNE algorithms that also take global resource information into consideration, in terms of request blocking probability, and brings higher time-average revenue to the infrastructure provider (InP).
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