...
首页> 外文期刊>American journal of operations research >Topology Abstraction Service for IP VPNs: Core Network Partitioning for Resource Sharing
【24h】

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

机译:IP VPN的拓扑抽象服务:用于资源共享的核心网络分区

获取原文
获取原文并翻译 | 示例

摘要

VPN service providers (VSP) and IP-VPN customers have traditionally maintained service demarcation boundaries between their routing and signaling entities. This has resulted in the VPNs viewing the VSP network as an opaque entity and therefore limiting any meaningful interaction between the VSP and the VPNs. A key challenge is to expose each VPN to information about available network resources through an abstraction (TA) which is both accurate and fair. In [2] we proposed three decentralized schemes assuming that all the border nodes performing the abstraction have access to the entire core network topology. This assumption likely leads to over- or under-subscription. In this paper we develop centralized schemes to partition the core network capacities, and assign each partition to a specific VPN for applying the decentralized abstraction schemes presented in [2]. First, we present two schemes based on the maximum concurrent flow and the maximum multicommodity flow (MMCF) formulations. We then propose approaches to address the fairness concerns that arise when MMCF formulation is used. We present results based on extensive simulations on several topologies, and provide a comparative evaluation of the different schemes in terms of abstraction efficiency, fairness to VPNs and call performance 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服务边界。这导致VPN将VSP网络视为一个不透明的实体,因此限制了VSP和VPN之间的任何有意义的交互。一个关键的挑战是通过准确,公平的抽象(TA)将每个VPN暴露给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量和最大多商品流(MMCF)公式提出两种方案。然后,我们提出了解决使用MMCF公式时出现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公平性和所实现的呼叫性能特征对不同方案进行了比较评估。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号