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GMPLS Control Plane Network Design With Resilience Guarantees

机译:具有弹性保证的GMPLS控制平面网络设计

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摘要

A one-to-one association between data and control channels has traditionally existed in transport networks. Being the control plane embedded in the data plane, the design of the former, as well as its resilience, has been addressed in the latter's one. However, a main GMPLS architectural requirement is to provide a clean separation between control and data planes. In this sense, the control plane in GMPLS networks may describe a different topology than the data plane, even realized over a separated IP network. As a consequence of this, data and control network design become no more linked in such scenarios. To the best of our knowledge, no works in the literature have addressed an independent design of the control plane in GMPLS-enabled networks regardless of the data plane. In this paper, we provide a method to obtain the optimal GMPLS control plane design, minimizing the network Capital Expenditures (CAPEX) while matching specific resilience requirements. To this goal, the problem of finding an optimal control plane topology that ensures a certain resilience level is formulated as a non-linear combinatorial model. This model, however, does not scale properly for large backbone networks. In view of this, a constructive linear method is also presented and its optimality validated through simulations on several reference network scenarios. Furthermore, its benefits in terms of total execution time are also highlighted.
机译:传统上,传输网络中存在数据与控制通道之间的一对一关联。作为嵌入在数据平面中的控制平面,前者的设计及其弹性已在后者的模型中得到了解决。但是,GMPLS的主要架构要求是在控制平面和数据平面之间提供清晰的分隔。从这个意义上讲,GMPLS网络中的控制平面可以描述与数据平面不同的拓扑,甚至可以在单独的IP网络上实现。因此,在这种情况下,数据和控制网络设计不再相互联系。据我们所知,文献中没有任何文章讨论支持GMPLS的网络中控制平面的独立设计,而与数据平面无关。在本文中,我们提供了一种获得最佳GMPLS控制平面设计的方法,可在满足特定弹性需求的同时,将网络资本支出(CAPEX)降至最低。为此,将寻找确保一定弹性水平的最佳控制平面拓扑的问题制定为非线性组合模型。但是,该模型无法针对大型骨干网正确扩展。有鉴于此,还提出了一种建设性的线性方法,并通过在多个参考网络方案上的仿真验证了其最优性。此外,还强调了其在总执行时间方面的优势。

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