M. U. Masood, I. Khan, Arsalan Ahmad, Muhammad Imran, V. Curri
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引用次数: 5
摘要
在光网络架构的设计和规划过程中,预先提供光源技术对运营商具有重要的技术经济意义。弹性光网络(Elastic Optical network, EONs)和软件定义网络(Software Defined Networking, SDN)等最新技术范式的发展,为灵活、可重构的光网络架构打开了大门。为了达到所需的灵活性程度,在控制平面和数据平面都需要灵活和动态的行为。在这方面,提出了支持sdn的柔性光收发器,以提供所需的灵活性。可切片带宽可变转发器(sbvt)是一种最新的柔性光收发器。根据光载波源的类型/技术,sbvt分为两种类型;多激光SBVT (ML-SBVT)和多波长SBVT (MW-SBVT)。在适应流量请求时,这两种架构都有各自的优缺点。在本文中,我们提出了一种sbvt在实际部署之前的选择模型。选择模型考虑了网络在设计和规划阶段的各种特性。除了该选择模型外,还将集中式Flex-OCSM体系结构与已经讨论过的SBVT类型进行了比较。本文的分析是在随机网络(20个节点)和德国网络(17个节点)上进行的。
Smart Provisioning of Sliceable Bandwidth Variable Transponders in Elastic Optical Networks
Prior provisioning of optical source technologies have techno-economic importance for the operator during the design and planning of optical network architectonics. Advancement towards the latest technology paradigm such as Elastic Optical Networks (EONs) and Software Defined Networking (SDN) open a gateway for a flexible and re-configurable optical network architecture. In order to achieve the required degree of flexibility, a flexible and dynamic behaviour is required both at the control and data plane. In this regards, SDN-enabled flexible optical transceivers are proposed to provide the required degree of flexibility. Sliceable Bandwidth Variable Transponders (SBVTs) is one of the recent type of flexible optical transceivers. Based on the type/technology of optical carrier source, the SBVTs are categorized into two types; Multi-Laser SBVT (ML-SBVT) and Multi-wavelength SBVT (MW-SBVT). Both architectures have their own pros and cons when it comes to accommodate traffic request. In this paper, we propose a selection model for the SBVTs before its actual deployment in the network. The selection model consider various design and planning phase network characteristics. In addition to this selection model, the comparison of centralized Flex-OCSM architecture is also presented with the already discussed SBVT types. The analysis in this work is performed on random network (20 nodes) and the German Network (17 nodes).