The task of determining which network architectures provide the best ratio in terms of operation and management efforts \textit{vs.} performance guarantees is not trivial. In this paper, we investigate the complexity of operating different types of architectures from the perspective of the space of network parameters that need to be monitored and configured. We present OPLEX, a novel framework based on the analysis of YANG data models of network implementations that enables operators to compare architecture options based on the dimension of the parameter space. We implement OPLEX as part of an operator-friendly tool that can be used to determine the space associated with an architecture in an automatic and flexible way. The benefits of the proposed framework are demonstrated in the use case of Internet Exchange Point (IXP) network architectures, for which we take advantage of the rich set of publicly available data. We also exploit the results of a survey and direct consultations we conducted with operators and vendors of IXPs on their perception of complexity when operating different architectures. OPLEX is flexible, builds upon data models with widespread usage in the community, and provides a practical solution geared towards operators for characterizing the complexity of network architecture options.
翻译:在本文件中,我们从需要监测和配置的网络参数空间的角度来调查不同类型结构运作的复杂性。我们介绍了OPLEX,这是一个基于对YANG网络实施数据模型的分析的新框架,使运营商能够根据参数空间的维度比较各种结构选项。我们实施了OPLEX,作为操作者友好型工具的一部分,可用于自动和灵活地确定与一个架构有关的空间。拟议框架的优点在互联网交换点网络结构的使用案例中得到了证明,我们利用了丰富的公开数据。我们还利用了我们与九州网络运营商和销售商进行的一次调查和直接协商的结果,了解他们在运行不同架构时对复杂性的看法。OPLEX是灵活的,以社区广泛使用的数据模型为基础,并为操作者提供了一种实用解决方案,用于描述网络结构选项的复杂性。