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Bottom-up framework for cost allocation to services in telecommunication networks Case study: cost allocation for flex-grid optical networks

机译:自下而上的电信网络服务成本分配框架案例研究:柔性网格光网络的成本分配

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Communications service providers (CSP) supply information, transport and passive infrastructure services that rely on the deployment of multiservice networks. To attain service cost reductions, the planning and design of those networks is essential, so that the total cost of the network ownership (TCO) is minimized. In this paper, we propose a bottom-up calculation framework for the allocation of the TCO cost components (i.e. capital and operational expenditures) to the services supplied by a CSP. For this, the framework is formulated within the context of the network life-cycle. Our method provides the level of abstraction required for the calculation of the three basic service cost contributors, namely, direct, shared and common costs. Moreover, it outlines the role of network planning in the design of an efficient network infrastucture, and in the calculation of the TCO. Based on this, we show how the stand alone, fully allocated and long-run incremental costs of a service can be calculated. Besides the determination of service cost drivers, the framework is useful to evaluate the cost-efficiency of competing technologies. To illustrate this, we study the allocation of the infrastructure costs for a CSP offering transport services with an optical network. By designing the infrastructure with fixed-grid and flex-grid technologies, it is shown that in both cases the main service cost driver is determined by the transponders installed. The results show that fixed-grid fits well for the provisioning of high speed constant bit-rate transport services, whereas flex-grid is a good candidate for transport services with bursty traffic patterns.
机译:通信服务提供商(CSP)提供依赖于多服务网络部署的信息,传输和被动基础结构服务。为了降低服务成本,必须对这些网络进行规划和设计,以使网络所有权(TCO)的总成本降至最低。在本文中,我们提出了一个自下而上的计算框架,用于将TCO成本成分(即资本和运营支出)分配给CSP提供的服务。为此,该框架是在网络生命周期的上下文中制定的。我们的方法提供了计算三个基本服务成本因素(直接成本,共享成本和共同成本)所需的抽象级别。此外,它概述了网络规划在高效网络基础结构设计和TCO计算中的作用。基于此,我们展示了如何计算服务的独立,完全分配和长期的增量成本。除了确定服务成本驱动因素外,该框架还有助于评估竞争技术的成本效率。为了说明这一点,我们研究了通过光网络提供运输服务的CSP的基础设施成本分配。通过使用固定网格和灵活网格技术设计基础架构,可以看出,在两种情况下,主要服务成本驱动因素均由安装的转发器确定。结果表明,固定网格非常适合提供高速,恒定比特率的传输服务,而弹性网格是具有突发流量模式的传输服务的理想选择。

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