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Topology-aware virtual network embedding through the degree

机译:通过度了解拓扑的虚拟网络嵌入

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摘要

As a promising technology, Network Virtualization plays a vital role in Cloud Computing and Data Center Networks by allowing multiple heterogeneous virtual networks to run simultaneously on a shared substrate network. A fundamental challenge in Network Virtualization is the Virtual Network Embedding (VNE) problem: how to effectively embed various virtual networks onto shared physical nodes and links in the substrate network. Previous research presents many heuristic algorithms, but barely considers topological attributes of substrate and virtual networks, which may lead to decreased utilization of substrate resources. In this paper, we advocate utilizing topological attributes of substrate and virtual networks in the VNE problem, and propose a topology-aware VNE algorithm based on the degrees of nodes. Due to overall consideration of substrate and virtual networks, our study better coordinates node and link embedding. Extensive simulations demonstrate that our proposed algorithm significantly improves the long-term average revenue, acceptance ratio, and revenue/cost ratio compared to previous algorithms.
机译:作为一项有前途的技术,网络虚拟化通过允许多个异构虚拟网络在共享的基础网络上同时运行,在云计算和数据中心网络中扮演着至关重要的角色。网络虚拟化的一个基本挑战是虚拟网络嵌入(VNE)问题:如何有效地将各种虚拟网络嵌入到共享的物理节点和基础网络中的链接上。先前的研究提出了许多启发式算法,但几乎没有考虑衬底和虚拟网络的拓扑属性,这可能导致衬底资源的利用率下降。在本文中,我们主张在VNE问题中利用衬底和虚拟网络的拓扑属性,并提出一种基于节点度的拓扑感知VNE算法。由于整体考虑了衬底和虚拟网络,我们的研究更好地协调了节点和链接的嵌入。大量的仿真表明,与以前的算法相比,我们提出的算法大大提高了长期平均收益,接受率以及收益/成本比。

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