Availability-based path selection

Song Yang, S. Trajanovski, F. Kuipers
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引用次数: 9

Abstract

In data communication networks, connection availability, which is defined as the probability that the corresponding connection will be found in the operating state, is a key element of many Service Level Agreements (SLA). The path over which a connection is to be established should obey the agreed-upon availability, otherwise the service provider may face revenue loss as stipulated in the SLA. In this paper, we study the problem of establishing a connection over at most k (partially) link-disjoint paths for which the availability is no less than δ (0 <; δ ≤ 1). We consider networks with and without Shared-Risk Link Groups (SRLGs). We prove that this problem, in general, cannot be approximated in polynomial time, unless P=NP. We subsequently propose a polynomial-time heuristic algorithm and an exact Integer Nonlinear Programming (INLP) formulation for availability-based path selection. Finally, the proposed algorithms and two existing heuristic algorithms are compared in terms of acceptance ratio and running time.
基于可用性的路径选择
在数据通信网络中,连接可用性(定义为在运行状态下找到相应连接的概率)是许多服务水平协议(Service Level Agreements, SLA)的关键要素。建立连接的路径应遵守商定的可用性,否则服务提供商可能面临SLA中规定的收入损失。本文研究了在至多k条(部分)链路不相交路径上建立连接的问题,其可用性不小于δ (0 <;δ≤1)。我们考虑有和没有共享风险链路组(SRLGs)的网络。我们证明了,除非P=NP,这个问题一般不能在多项式时间内逼近。我们随后提出了一个多项式时间启发式算法和一个精确整数非线性规划(INLP)公式,用于基于可用性的路径选择。最后,将所提算法与现有的两种启发式算法在接受率和运行时间方面进行了比较。
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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