面向可伸缩图形数据库驱动的SDN控制器

Fetia Bannour, Stefania Dumbrava, Alex Danduran-Lembezat
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引用次数: 0

摘要

软件定义网络(SDN)范例依赖于控制平面和数据平面的解耦,并在逻辑上集中SDN控制,从而通过开放接口实现直接的网络编程。因此,需要新的抽象来重新思考传统的网络方法,并为管理和自动化创造新的机会。我们演示了GOX控制器,使用可扩展的Neo4j图形数据库提出了一种新的网络拓扑的实时图形抽象。我们的概念验证是为GOX设计的转发应用程序进行评估的。与POX的模型相比,GOX在Internet Topology Zoo的合成拓扑和实际拓扑上显示出更好的性能和可伸缩性。
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GOX: Towards a Scalable Graph Database-Driven SDN Controller
The Software-Defined Networking (SDN) paradigm relies on decoupling the control and data planes, and logically centralizing SDN control to enable direct network programming via open interfaces. New abstractions are thus needed in a bid to rethink the traditional networking approach and create new opportunities for management and automation. We demonstrate the GOX controller, proposing a novel graph abstraction of the network topology in real time using the scalable Neo4j graph database. Our proof-of-concept was evaluated for a forwarding application designed for GOX. Compared to POX’s model, GOX shows better performance and scalability on synthetic topologies and real-world topologies from the Internet Topology Zoo.
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