基于SDN和ForCES的最优网络拓扑发现

George Tarnaras, E. Haleplidis, S. Denazis
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引用次数: 29

摘要

软件定义网络提出了一种基于控制平面和转发平面分离的网络可编程性的替代范例。为了确保数据中心的健壮性和可管理性,以动态和优化的方式发现网络元素,能够应对不断增长的网络流量,是SDN网络的关键要求。OpenFlow创建拓扑图的方法是通过在控制器和转发元素之间交换LLDP帧。本文提出了一种更好的利用LLDP的方法,利用现有的硬件能力,直接从数据平面提取信息到控制平面,从而构建一个动态的、自动的拓扑发现算法。按照这个过程获得拓扑图,并使用IETF的ForCES框架,我们成功地建立了一个通用方法的模型,用于从数据路径提取到控制器所需的LLDP信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SDN and ForCES based optimal network topology discovery
Software-defined Networking proposes an alternative paradigm on network programmability based on the separation of control and forwarding planes. Discovering network elements in a dynamic and optimized fashion, able to cope with the ever-growing network traffic, is a key requirement for SDN networks, in order to ensure a data center's robustness and manageability. OpenFlow's approach for creating the topology map is by exchanging LLDP frames between the controller and the forwarding elements. This paper proposes a better usage of LLDP by taking advantage of existing hardware capabilities to extract information directly from the data plane to the control plane in order to construct a dynamic and automatic topology discovery algorithm. Following this procedure to obtain the topology map and using the IETF's ForCES framework, we managed to model a generic method for extracting the required LLDP information from the datapath to the controller.
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