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物理拓扑发现对于网络管理及性能分析具有重要的作用。给出生成树协议与地址转发表相结合的到主机的物理拓扑发现算法。并针对大部分网络设备是CISCO产品的网络,提出运用CDP协议和子网内ping技术相结合的开发方法。此方法既提高开发效率又增强了拓扑发现的完整性,为进一步的网络管理提供详细的可视化物理拓扑结构。 相似文献
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本文首先提出一种面向IP主干网的启发式网络拓扑发现算法.该算法基于启发式、贪心法的思想,具有IP地址的自动推理和查找范围的自我调整,因而具备较强的自适应性.进而提出了一个数据链路层拓扑发现算法.该算法与已有的算法相比重点解决了无生成树协议工作下数据链路层拓扑发现、主机的拓扑构造以及集线器或无IP地址的交换机等所谓的哑设备发现问题.同时阐述了一种新的数据结构类型并给出其数学定义、专有操作及该数据结构在算法中的应用.算法已经实现并应用到我们自己开发的软件中,同时在清华大学网络研究中心实验网络环境中进行了实际测试和验证,达到了很好的效果. 相似文献
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根据城域网网管软件开发过程中的设计经验,本文阐述了一种基于路由接口地址空间和SNMP异步扫描的网络物理拓扑快速发现的方法,并在具体项目中予以实现和应用,解决了拓扑发现过程中面临的设备搜索的完整性、拓扑发现的速度和拓扑判定的准确性三个主要问题,并取得了良好的效果。 相似文献
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随着大规模交换网络的发展,网络拓扑发现的研究由网络层拓展到数据链路层.链路层的拓扑发现能够发现网络层拓扑发现无法发现的局域网内部的详细的物理连接情况.通过对数据链路层现状和存在的不足的研究,提出了一种基于STP树的数据链路层拓扑发现算法,该算法不要求各个网桥FDB表的信息是完备的,就能快速准确地计算出网络第二层的拓扑结构. 相似文献
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根据数据灾备中心特定网络环境的工作特点——网络必须具有高可靠性,并能及时发现设备故障,因此对拓扑算法就有高准确性和高效率的要求,针对现有拓扑算法在发现完整性和发现效率上的不足,提出了结合ARP与SNMP各自的优点,并采用多线程并行技术提高拓扑效率,给出了算法的设计与实现。实践证明,该算法在拓扑效率上提高了近一倍。 相似文献
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Automatic discovery of physical topology plays a crucial role in enhancing the manageability of modern metro Ethernet networks. Despite the importance of the problem, earlier research and commercial network management tools have typically concentrated on either discovering logical topology, or proprietary solutions targeting specific product families. Recent works have demonstrated that network topology can be determined using the standard simple network management protocol (SNMP) management information base (MIB), but these algorithms depend on address forwarding table (AFT) entries and can find only spanning tree paths in an Ethernet mesh network. A previous work by Breibart et al. requires that AFT entries be complete; however, that can be a risky assumption in a realistic Ethernet mesh network. In this paper, we have proposed a new physical topology discovery algorithm which works without complete knowledge of AFT entries. Our algorithm can discover a complete physical topology including inactive interfaces eliminated by the spanning tree protocol in metro Ethernet networks. The effectiveness of the algorithm is demonstrated by implementation. 相似文献
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该文基于物理层安全理论,针对能量受限的无线中继网络提出一种绿色的保密通信方案。该方案在节点功率约束和系统最小目标保密速率要求下,通过最优功率控制实现系统的安全能效最大化,并基于分式规划、对偶分解和DC(Difference of Convex functions)规划理论提出了一种迭代的功率分配算法。通过仿真比较,能效优化可以显著提升系统的安全能效,然而相对于保密速率最大化会有一定保密速率损失,这是由于能效和保密之间存在固有的折中。但是,能效优化的保密速率仍然大于发送总功率最小化的保密速率。 相似文献
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Mijeong Yang Taeil Kim Haewon Jung Myoung‐Hee Jung Seung‐Hyuk Choi Min Young Chung Jaehyung Park 《ETRI Journal》2006,28(6):815-818
In the global Internet, a constraint‐based routing algorithm performs the function of selecting a routing path while satisfying some given constraints rather than selecting the shortest path based on physical topology. It is necessary for constraint‐based routing to disseminate and update link state information. The triggering policy of link state updates significantly affects the volume of update traffic and the quality of services (QoS). In this letter, we propose an adaptive triggering policy based on link‐usage statistics in order to reduce the volume of link state update traffic without deterioration of QoS. Also, we evaluate the performance of the proposed policy via simulations. 相似文献
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Suman Pandey Mi‐Jung Choi Young J. Won James Won‐Ki Hong 《International Journal of Network Management》2011,21(3):169-184
Precise network topology information is required to perform management activities such as fault detection, root cause analysis, performance monitoring, and load balancing in enterprise networks. To accomplish these management tasks, both network discovery and connectivity information are essential. This paper examines various problems with the existing topology discovery mechanisms and proposes an SNMP‐based approach to discover physical as well as logical topology. We present algorithms for identifying network device types and discovering connectivity among them. The connectivity of end host and management information base (MIB)‐enabled devices with switches and routers is discussed and evaluated. We also present an algorithm for discovering logical topology, such as VLAN and subnet connectivity. Finally, we present a combination of graph and tree layouts, to visualize connectivity information. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献