2) large scale network
大规模网络
1.
Anomaly detection of large scale network based on data streams;
基于数据流方法的大规模网络异常发现
2.
Under the situation of current IDSs have no good performance to meet the large scale network s need.
针对当前入侵检测技术不能满足大规模网络的性能要求这一问题,提出了基于重心原理的大规模网络异常检测算法。
3) large-scale networks
大规模网络
1.
Based on the discussions, the empirical model of IP flows distribution for large-scale networks is proposed based on the characteristics analysis, whose precision is better than Pareto model, and the complexity is less than double Pareto model.
在此基础上,提出大规模网络状况下IP流长分布经验模型,该模型在表达大规模网络IP流长分布上,其精度高于原有Pareto模型,复杂度低于原有双Pareto模型。
2.
Based on the former research on IP flows arrival distribution, this paper analyzed the interarrival time distribution and the autocorrelation of IP flows coming from different large-scale networks.
在探讨现有IP流到达分布研究成果的基础上,首先对不同来源的大规模网络的IP流到达时间间隔分布和自相关性进行了分析,发现IP流到达时间间隔均服从Weibull分布,但随着IP流到达密度的增加,Weibull分布的参数α逐渐接近于1,则Weibull分布退化为指数分布;IP流的自相关系数随着被考察IP流流长的增加逐渐减弱,流长为100左右的IP流,其到达过程彼此基本不相关。
4) large-scale network
大规模网络
1.
Analysis of BitTorrent flow behavior on large-scale networks;
大规模网络中BitTorrent流行为分析
2.
In large-scale networks,the 1D fast recursion CBP (Call-Blocking Probability) algorithm proposed by Kaufman is unavailable due to the data overflow caused by the calculation of CBP.
在大规模网络条件下,Kaufman提出的一维递推快速呼叫阻塞率(CBP)算法由于其呼叫阻塞率的计算将导致系统计算溢出,改进的Kaufman方案虽然消除了计算溢出,但是其计算时间随网络规模的变大呈指数增长。
3.
An anomaly detection model based on the multi-feature similarity in large-scale network is proposed in this paper.
提出了大规模网络中一种基于相似度的异常检测模型。
5) large-scale test network
大规模测试网络
1.
Study and application of synchronous data acquisition technique in large-scale test network;
大规模测试网络的同步采样技术研究与应用
6) large scale networkrouting
大规模网络路由
补充资料：规模经济/规模不经济
规模经济/规模不经济：规模经济和规模不经济用来说明厂商产量变动从而规模变动与成本之间的关系。对于一个生产厂商而言，如果产量扩大一倍，而厂商的生产成本的增加低于一倍，则称厂商的生产存在着规模经济；如果产量增加一倍，而成本的增加大于一倍，则生产存在着规模不经济。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条