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Scheduling technology migration in WDM Networks

机译:WDM网络中的调度技术迁移

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The rapid technological evolution of telecommunication networks demands service providers to regularly update their technology, with the aim of remaining competitive in the marketplace. However, upgrading the technology in a network is not a trivial task. New hardware components need to be installed in the network and during the installation network connectivity may be temporary compromised. The Wavelength Division Multiplexing (WDM) technology, whose upgrade is considered in here, shares fiber links among several optical connections and tearing down a single link may disrupt several optical connections at once. When the upgrades involve large parts of a network, typically not all links can be upgraded in parallel, which may lead to an unavoidable longer disruption of some connections. A bad scheduling of the overall endeavor, however, can dramatically increase the disconnection time of parts of the networks, causing extended service disruption. In this contribution, we study the problem of finding a schedule of the fiber link upgrades that minimizes the total service disruption time. To the best of our knowledge, this problem has not yet been formalized and investigated. The aim of our work is to close this gap by presenting a mathematical optimization model for the problem and an innovative solution algorithm that tackles the intrinsic difficulties of the problem. Computational experience on realistic instances completes our study. Our original investigations have been driven by real needs of DFN, operator of the German National Research and Education Network and our partner in the BMBF research project ROBUKOM (http://www.robukom.de/).
机译:电信网络的快速技术演变要求服务提供商定期更新其技术,目的是市场上剩余竞争力。但是,在网络中升级技术不是一个微不足道的任务。新的硬件组件需要在网络中安装,并且在安装期间,网络连接可能是暂时的损害。在此处考虑的波分复用(WDM)技术,在此考虑升级,在几个光学连接中共享光纤链路并拆除单个链路可能会扰乱几种光学连接。当升级涉及网络的大部分时,通常并不可以并行升级所有链接,这可能导致某些连接的不可避免的更长的中断。然而,整体努力的糟糕调度可以大大增加网络部分的断开时间,导致扩展服务中断。在这一贡献中,我们研究了找到最小化总服务中断时间的光纤链路升级计划的问题。据我们所知,这个问题尚未正式化并调查。我们的作品的目的是通过呈现问题的数学优化模型和一种创新解决问题的创新解决方案算法来缩短这种差距。现实实例的计算经验完成了我们的研究。我们的原始调查由DFN,德国国家研究和教育网络的运营商以及我们在BMBF研究项目Robukom(http://www.robukom.de/)的合作伙伴的实际需求驱动。

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