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Topology Abstraction Service for IP VPNs: Core Network Partitioning for Resource Sharing

机译:Ip VpN的拓扑抽象服务:核心网络分区   资源共享

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摘要

VPN service providers (VSP) and IP-VPN customers have traditionallymaintained service demarcation boundaries between their routing and signalingentities. This has resulted in the VPNs viewing the VSP network as an opaqueentity and therefore limiting any meaningful interaction between the VSP andthe VPNs. A key challenge is to expose each VPN to information about availablenetwork resources through an abstraction (TA) [1] which is both accurate andfair. In [2] we proposed three decentralized schemes assuming that all theborder nodes performing the abstraction have access to the entire core networktopology. This assumption likely leads to over- or under-subscription. In thispaper we develop centralized schemes to partition the core network capacities,and assign each partition to a specific VPN for applying the decentralizedabstraction schemes presented in [2]. First, we present two schemes based onthe maximum concurrent flow and the maximum multicommodity flow (MMCF)formulations. We then propose approaches to address the fairness concerns thatarise when MMCF formulation is used. We present results based on extensivesimulations on several topologies, and provide a comparative evaluation of thedifferent schemes in terms of abstraction efficiency, fairness to VPNs and callperformance characteristics achieved.
机译:传统上,VPN服务提供商(VSP)和IP-VPN客户在其路由和信令实体之间维护了服务边界。这导致VPN将VSP网络视为不透明,因此限制了VSP与VPN之间的任何有意义的交互。一个关键的挑战是通过准确且公平的抽象(TA)[1]将每个VPN暴露于有关可用网络资源的信息。在[2]中,我们提出了三种分散方案,假设所有执行抽象的边界节点都可以访问整个核心网络拓扑。这种假设可能导致超额订购或订购不足。在本文中,我们开发了集中式方案来划分核心网络容量,并将每个分区分配给特定的VPN,以应用在[2]中提出的分散式抽象方案。首先,我们基于最大并发流和最大多商品流(MMCF)公式提出两种方案。然后,我们提出了解决使用MMCF公式时引起的公平性问题的方法。我们基于对几种拓扑的广泛仿真,给出了结果,并就抽象效率,VPN的公平性和实现的呼叫性能特征对不同方案进行了比较评估。

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