摘要
准确、及时的网络拓扑信息对网络管理、协议设计和网络安全等领域工作具有重要意义。针对包含哑设备的大型、异构多子网拓扑发现问题,提出一种基于子树交汇点的物理拓扑发现算法。算法通过围绕子树交汇点,利用改进的连接信息扩展规则进行连接判定与信息推理补完,自顶向下的进行拓扑发现。理论分析与实验结果表明,该算法能够利用不完整的地址转发表构建出整个网络拓扑结构,在发现效率和准确性等方面都有了较大提高。
Accurate and up-to-date network topology information plays a crucial role in network management,protocol design and network security,etc. To discover the problems targeting at the large and heterogeneous multiple subnets that may include dumb network elements,we propose a new multi-subtree intersection-based physical topological discovery algorithm. Around the intersection of multi-subtree,the algorithm uses the improved connection information extension rules to carry out the connection discriminant and the reasoning and finishing up of information,as well as the top-down topology discovery. It is demonstrated by theoretical analysis and experimental results that this algorithm can construct an entire network topology with the incomplete AFTs,and improves a great deal in both discovery efficiency and accuracy.
出处
《计算机应用与软件》
CSCD
2015年第8期121-126,共6页
Computer Applications and Software
基金
国家重点基础研究发展计划项目(2011CB311801)
国家高技术研究发展计划项目(2012AA012704)
关键词
物理拓扑
子网拓扑树
交汇点
可达节点集
扩展规则
Physical topology Topology tree of subnet Intersection node Reachable node set Extension rules