业务丰富的SONET城域网状网络中负载均衡的备用容量再分配方法

Lu Shen, Xi Yang, B. Ramamurthy
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引用次数: 3

摘要

下一代SONET城域网正在发展成为一个服务丰富的基础设施。在这种网络的边缘,多业务提供平台(MSPPs)通过通用帧过程(GFP)和虚拟连接(VC)提供高效的数据映射。网络的核心往往是配备多业务交换机(mss)的网状架构,在这些新兴技术的背景下,我们提出了一种负载平衡的备用容量重新分配方法,以提高下一代SONET城域网的网络利用率。使用我们的方法,运营商可以推迟网络升级,从而在减少资本支出(CAPEX)的同时增加收入。本文首次从容量升级和网络规划的角度考虑备用容量的再分配问题。我们的方法可以在共享路径保护(带有备份多路复用)的环境中运行,因为它可以在不中断工作服务的情况下重新分配备用容量。与以往以最小化总备用容量为目标的备用容量再分配方法不同,我们的负载平衡方法使网络负载矢量(NLV)最小化,这是一种反映网络负载分布的新指标。由于NLV同时考虑了均匀和非均匀的链路容量分布,因此我们的方法对均匀和非均匀网络都有好处。我们开发了一种贪婪负载平衡备用容量再分配(GLB-SCR)启发式算法来实现这种方法。实验结果表明,在均匀和非均匀网络中,GLB-SCR在建立连接容量和总网络容量方面都优于先前提出的算法(SSR)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A load-balancing spare capacity reallocation approach in service-rich SONET metro mesh networks
The next-generation SONET metro network is evolving into a service-rich infrastructure. At the edge of such a network, multi-service provisioning platforms (MSPPs) provide efficient data mapping enabled by generic framing procedure (GFP) and virtual concatenation (VC). The core of the network tends to be a meshed architecture equipped with multi-service switches (MSSs), In the context of these emerging technologies, we propose a load-balancing spare capacity reallocation approach to improve network utilization in the next-generation SONET metro networks. Using our approach, carriers can postpone network upgrades, resulting in increased revenue with reduced capital expenditures (CAPEX). For the first time, we consider the spare capacity reallocation problem from a capacity upgrade and network planning perspective. Our approach can operate in the context of shared-path protection (with backup multiplexing) because it reallocates spare capacity without disrupting working services. Unlike previous spare capacity reallocation approaches which aim at minimizing total spare capacity, our load-balancing approach minimizes the network load vector (NLV), which is a novel metric that reflects the network load distribution. Because NLV takes into consideration both uniform and non-uniform link capacity distribution, our approach can benefit both uniform and non-uniform networks. We develop a greedy load-balancing spare capacity reallocation (GLB-SCR) heuristic algorithm to implement this approach. Our experimental results show that GLB-SCR outperforms a previously proposed algorithm (SSR) in terms of established connection capacity and total network capacity in both uniform and non-uniform networks.
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