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Scheduling technology migration in WDM Networks

机译:WDM网络中的计划技术迁移

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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发展要求服务提供商定期更新其技术,以保持市场竞争力。但是,升级网络中的技术并非易事。需要在网络中安装新的硬件组件,并且在安装过程中,网络连接可能会暂时受损。在此考虑升级的波分复用(WDM)技术在多个光学连接之间共享光纤链路,并且断开单个链路可能会同时中断多个光学连接。当升级涉及网络的大部分时,通常并非所有链接都可以并行升级,这可能导致不可避免的更长的某些连接中断。但是,如果整个工作安排不当,则可能会大大增加部分网络的断开连接时间,从而导致服务中断时间延长。在此贡献中,我们研究了发现光纤链路升级时间表以最大程度地减少总服务中断时间的问题。就我们所知,此问题尚未形式化和调查。我们的工作目标是通过提出针对该问题的数学优化模型和解决该问题固有难题的创新解决方案算法来弥合这一差距。逼真的实例的计算经验使我们的研究更加完善。我们最初的调查是由DFN,德国国家研究与教育网络的运营商以及BMBF研究项目ROBUKOM(http://www.robukom.de/)的合作伙伴的实际需求驱动的。

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