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A performance analysis of management information due to data traffic provisioning in a SONET/SDH communications network

机译:由于SONET / SDH通信网络中的数据流量供应而导致的管理信息的性能分析

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摘要

An evaluation of the performance of a SONET management system was conducted to better understand its management capabilities due to network disruptions in the presence of a traffic load. This study analyzed the Cisco Transport Manager (CTM) which manages a testbed of four Cisco ONS15454 optical systems. The network was injected with HTTP and FTP traffic generated by the Spirent Smartbits system installed with TeraMetrics Gigabit Ethernet modules and load calibration configured by the Spirent Avalanche software. To simulate real-world situations, power disruptions were applied to the network while collecting CTM traffic using Ethereal. Using queuing analysis, the arrival rates and service times were computed for various CTM traffic components and a utilization for 2500 network elements (NE) extrapolated. Self-similarity analysis was performed and the logvariance was plotted to extract the Hurst values. Finally, the results and findings were compared with prior research for loading and no-loading cases. The results of this study are useful in determining the maximum number of network elements manageable in a disruptive environment. Final analysis on the effects of link utilization on the queue size showed that the CTM is able to manage more NEs when the network is disrupted. Unfortunately, managing more NEs increases the queue size even though the utilization was found to be 0.83 for 5450 NEs. Consequently, in order to maintain a moderate queue size, the maximum number of NEs manageable was found to be 2495. This value is close to CISCO's specification of a CTM server managing a maximum of 2500 NEs.
机译:对SONET管理系统的性能进行了评估,以更好地了解由于流量负载导致网络中断而导致的管理功能。这项研究分析了管理四个Cisco ONS15454光学系统的测试平台的Cisco Transport Manager(CTM)。该网络注入了由Spirent Smartbits系统生成的HTTP和FTP流量,该系统安装了TeraMetrics千兆以太网模块,并由Spirent Avalanche软件配置了负载校准。为了模拟现实情况,在使用Ethereal收集CTM通信量的同时,将电源中断应用于网络。使用排队分析,可以计算出各种CTM流量组件的到达率和服务时间,并推断出2500个网络元素(NE)的利用率。进行自相似性分析,并绘制对数方差以提取Hurst值。最后,将结果和调查结果与先前的有载和无载案例进行了比较。这项研究的结果有助于确定在破坏性环境中可管理的最大网络元素数量。对链路利用率对队列大小的影响的最终分析表明,当网络中断时,CTM能够管理更多的网元。不幸的是,即使发现5450个网元的利用率为0.83,管理更多的网元也会增加队列大小。因此,为了维持适中的队列大小,发现可管理的最大网元数为2495。此值接近于CISCO对管理最多2500个网元的CTM服务器的规范。

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    Tay Yeong Kiang Winston.;

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  • 年度 2005
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