将SDN与网络虚拟化配对:网络管理程序的放置问题

Andreas Blenk, A. Basta, Johannes Zerwas, W. Kellerer
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引用次数: 34

摘要

软件定义网络(SDN)的网络虚拟化管理程序是实现虚拟SDN网络(vsdn)的必要组件。虚拟化软件定义的网络使租户能够携带自己的SDN控制器,以便对其虚拟SDN网络的网络控制进行单独编程。管理程序充当租户SDN控制器与其各自的虚拟SDN网络之间的中间层。管理程序由虚拟化所必需的网络功能组成,例如,转换或隔离功能。对于可伸缩性,管理程序可以通过多个物理分布式实例来实现,每个实例托管所需的虚拟化功能。这样,实现管理程序的实例的物理位置可能会影响虚拟SDN网络的整体性能。网络虚拟化为一般的SDN控制器放置问题增加了新的维度。本文对网络管理程序的配置问题进行了研究。HPP针对以下问题:需要多少虚拟机监控程序实例?管理程序实例应该放在网络中的什么位置?对于HPP的研究,我们提供了一个在不考虑节点和链路容量约束的情况下求解HPP的数学模型。我们提出了基于我们的vsdn模型优化放置解决方案的四个延迟指标。我们的评估涵盖了一个真实的网络拓扑,量化了用作目标的新度量之间的权衡。此外,我们分析了物理网络拓扑对优化结果的影响,并确定了改进的潜力,例如,在运行时间方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pairing SDN with network virtualization: The network hypervisor placement problem
A network virtualization hypervisor for Software Defined Networking (SDN) is the essential component for the realization of virtual SDN networks (vSDNs). Virtualizing software defined networks enables tenants to bring their own SDN controllers in order to individually program the network control of their virtual SDN networks. A hypervisor acts as an intermediate layer between the tenant SDN controllers and their respective virtual SDN networks. The hypervisor consists of the network functions that are necessary for virtualization, e.g., translation or isolation functions. For scalability, the hypervisor can be realized via multiple physically distributed instances each hosting the needed virtualization functions. In this way, the physical locations of the instances, which realize the hypervisor, may impact the overall performance of the virtual SDN networks. Network virtualization adds new dimensions to the general SDN controller placement problem. This paper initiates the study of the network hypervisor placement problem (HPP). The HPP targets the following questions: How many hypervisor instances are needed? Where should the hypervisor instances be placed in the network? For our study of the HPP, we provide a mathematical model that solves the HPP for a case where node and link capacity constraints are not considered. We propose four latency metrics for optimizing placement solutions based on our model for vSDNs. Covering a real network topology, our evaluation quantifies the trade-offs between the new metrics when used as objectives. Furthermore, we analyze the impact of the physical network topology on the optimization results and identify potentials for improvement, e.g., in terms of runtime.
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