Efficient QoS partition and routing of unicast and multicast

D. Lorenz, A. Orda, D. Raz, Y. Shavitt
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引用次数: 22

Abstract

In this paper we study problems related to supporting unicast and multicast connections with quality of service (QoS) requirements. We investigate the problem of optimal routing and resource allocation in the context of performance-dependent costs. In this context each network element can offer several QoS guarantees, each associated with a different cost. This is a natural extension to the commonly used hi-criteria model, where each link is associated with a single delay and a single cost. This framework is simple yet strong enough to model many practical interesting networking problems. An important problems in this framework is finding a good path for a connection that minimizes the cost whilst retaining the end-to-end delay requirement. Once such a path (or a tree in the multicast case) is found, one needs to partition the end-to-end QoS requirements among the links of the path (tree). We consider the case of general integer cost functions (where delays and cost are integers). As the related problem is NP complete, we concentrate on finding efficient /spl epsi/-approximation solutions. We improve on recent previous results, both in terms of generality as well as in terms of complexity of the solution. In particular, we present novel approximation techniques that yield the best known complexity for the unicast QoS routing problem, and the first approximation algorithm for the QoS partition problem on trees, both for the centralized and distributed cases.
有效的单播和组播QoS划分和路由
本文研究了满足服务质量(QoS)要求的单播和组播连接的支持问题。我们研究了性能依赖成本背景下的最优路由和资源分配问题。在这种情况下,每个网络元素都可以提供多个QoS保证,每个保证都与不同的成本相关联。这是对常用的高标准模型的自然扩展,其中每个链路与单个延迟和单个成本相关联。这个框架很简单,但足够强大,可以模拟许多实际有趣的网络问题。该框架中的一个重要问题是为连接找到一个良好的路径,使成本最小化,同时保留端到端延迟要求。一旦找到这样的路径(或多播情况下的树),就需要在路径(树)的链路之间划分端到端QoS需求。我们考虑一般整数代价函数的情况(其中延迟和代价是整数)。由于相关问题是NP完全的,我们专注于寻找有效的/spl epsi/-近似解。我们改进了最近的结果,无论是在通用性方面还是在解决方案的复杂性方面。特别是,我们提出了新的近似技术,为单播QoS路由问题提供了最著名的复杂性,并为集中和分布式情况下的树上的QoS分区问题提供了第一种近似算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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