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SDN网络中的故障检测与修复技术研究

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[目的]虽然软件定义网络(SDN)是一种开放的架构,但也存在着各类网络错误.为实现SDN的高可用性,对故障检测与修复机制进行研究是至关重要的.[方法]首先,对SDN架构与OpenFlow协议进行分析,总结出SDN网络中可能出现的错误,并设计出数据平面错误检测方法.其次,基于主动修复与被动修复机制,并考虑数据流量服务的质量(QoS)需求,从而提出主动与被动相结合的故障修复机制.在此基础上,本研究设计出基于开源代码的故障检测与修复方法,其使用的是非同步报警机制监测网络,根据故障数量和影响程度选择3种修复模式.[结果]试验结果表明,本研究设计的方法能有效检测出SDN数据平面中常见的错误,在保障QoS的前提下,能最大限度恢复网络功能.[结论]该方法在处理多类故障和考虑QoS需求方面超过现有机制,为SDN高可用性和应用提供理论与实践基础,而进一步提高对复杂故障的处理能力和增强自修复智能性是后续的研究方向.
Research on Fault Detection and Recovery Techniques in SDN Networks
[Purposes]Although Software Defined Networking(SDN)is an open architecture,there are also various network errors.In order to realize the high availability of SDN,it is very important to study the fault detection and repair mechanism.[Methods]Firstly,the SDN architecture and OpenFlow protocol are analyzed,and the possible errors in the SDN network are summarized,and the data plane error detection method is designed.Secondly,based on the active repair and passive repair mechanism,and considering the quality of service(QoS)requirements of data traffic,a fault repair mechanism combining active and passive repair is proposed.On this basis,this study designs a fault detection and repair method based on open source code,which uses an asynchronous alarm mechanism monitoring network,and selects three repair modes according to the number of faults and the degree of influence.[Findings]The experimental results show that the method designed in this study can effectively detect common errors in the SDN data plane,and can maximize the recovery of network functions under the premise of guaranteeing QoS.[Conclusions]This method is superior to the existing mechanisms in dealing with multiple types of faults and considering QoS requirements,which provides a theoretical and practical basis for SDN high availability and application.Further improving the ability to deal with complex faults and enhancing self-healing intelligence are the follow-up research directions.

SDN networkingfault detectionfault recovery

许豪豪

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中国移动通信集团河南有限公司,河南 郑州 450008

SDN联网 故障检测 故障修复

2024

河南科技
河南省科学技术信息研究院

河南科技

影响因子:0.615
ISSN:1003-5168
年,卷(期):2024.51(2)
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