SDNSOC: Object Oriented SDN Framework

Ankur Chowdhary, Dijiang Huang, Gail-Joon Ahn, Myong H. Kang, Anya Kim, Alexander Velazquez
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引用次数: 11

Abstract

The cloud networks managed by SDN can have multi-tier policy and rule conflicts. The application plane can have conflicting user-defined policies, and the infrastructure layer can have OpenFlow rules conflicting with each other. There is no scalable, and, automated programming framework to detect and resolve multi-tier conflicts in SDN-based cloud networks. We present an object-oriented programming framework - SDN Security Operation Center (SDNSOC), which handles policy composition at application plane, flow rule conflict detection and resolution at the control plane. We follow the design principles of object-oriented paradigm such as code-re-utilization, methods abstraction, aggregation for the implementation of SDNSOC on a multi-tenant cloud network. The key benefits obtained using this approach are (i) The network administrator is abstracted from complex-implementation details of SFC. The end-to-end policy composition of different network functions is handled by an object-oriented framework in an automated fashion. We achieve 37% lower latency in SFC composition compared to nearest competitors - SICS and PGA. (ii) Policy conflict detection between the existing traffic rules and incoming traffic is handled by SDNSOC in a scalable manner. The solution scales well on a large cloud network., and 18% faster security policy conflict detection on a cloud network with 100k OpenFlow rules compared to similar works - Brew, and Flowguard.
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面向对象的SDN框架
SDN管理的云网络可能存在多层策略和规则冲突。应用平面可能存在冲突的自定义策略,基础架构层可能存在冲突的OpenFlow规则。在基于sdn的云网络中,没有可扩展的自动化编程框架来检测和解决多层冲突。我们提出了一个面向对象的编程框架——SDN安全操作中心(SDN Security Operation Center, SDN),它在应用平面处理策略组合,在控制平面处理流规则冲突检测和解决。我们遵循代码重用、方法抽象、聚合等面向对象范式的设计原则,在多租户云网络上实现snsoc。使用这种方法获得的主要好处是:(i)网络管理员从SFC的复杂实现细节中抽象出来,不同网络功能的端到端策略组合由面向对象的框架以自动化的方式处理。与最接近的竞争对手(SICS和PGA)相比,我们在SFC组合中实现了37%的低延迟。(ii)由SDNSOC以可扩展的方式处理现有流量规则与传入流量之间的策略冲突检测。该解决方案在大型云网络上可很好地扩展。在使用100k OpenFlow规则的云网络上,与Brew和Flowguard等类似产品相比,安全策略冲突检测速度提高了18%。
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