基于生成树保护的抗毁云网络设计
Survivable Cloud Network Design Against Multiple Failures Through Protecting Spanning Trees
摘要：
诸如云计算基础设施的跨层网络的可生存设计在于其资源部署和分配以及逻辑（虚拟数据中心/IP）网络到物理基础设施（云骨干/WDM）的映射，使得物理基础设施中的链路或节点故障将不会导致逻辑网络中的级联故障。现有的跨层抗毁网络设计方法大多针对单链路故障场景，而不适用于更具挑战性的多链路故障场景。此外，由于这些方法中的许多使用跨层切割概念，因此需要枚举网络中的所有切割，从而引入指数数量的约束。为了克服这些困难，本文研究了针对多个物理链路故障及其特殊情况，共享风险链路组（SRLG）故障的生存映射方法。我们提出了必要和充分条件的基础上跨层生成树和割集，以保证一个生存的映射时，多个物理链路故障发生。在充分必要条件的基础上，我们提出了通过（1）避免枚举所有链路故障组合的混合整数线性规划和（2）顺序生成/添加逻辑生成树的算法来解决该问题。我们的仿真结果表明，所提出的方法可以有效地产生生存映射对$k$ -和SRLG-故障。
英文摘要：
Survivable design of cross-layer networks, such as the cloud computing infrastructure, lies in its resource deployment and allocation and mapping of the logical (virtual datacenter/IP) network into the physical infrastructure (cloud backbone/WDM) such that link or node failure(s) in the physical infrastructure would not result in cascading failures in the logical network. Most of the prior approaches for survivable cross-layer network design aim at single-link failure scenario, which are not applicable to the more challenging multi-failure scenarios. Also, as many of these approaches use the cross-layer cut concept, enumeration of all cuts in the network is required and thus introducing exponential number of constraints. To overcome these difficulties, we investigate in this paper survivable mapping approaches against multiple physical link failures and its special case, Shared Risk Link Group (SRLG) failure. We present the necessary and sufficient conditions based on both cross-layer spanning trees and cutsets to guarantee a survivable mapping when multiple physical link failures occur. Based on the necessary and sufficient conditions, we propose to solve the problem through (1) mixed-integer linear programs which avoid enumerating all combinations of link failures, and (2) an algorithm which generates/adds logical spanning trees sequentially. Our simulation results show that the proposed approaches can produce survivable mappings effectively against both $k$- and SRLG-failures.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
