网络性能管理中一种数据采集算法的研究

根据大量的网络管理实践，研究了网络性能数据变化的规律和现在被大量采用的等时间间隔数据采集算法的弊端，提出了一种自适应时间间隔数据采集算法，该算法根据网络性能数据变化的缓急自动调整采样时间间隔，更合理地使用网络带宽，理论分析和仿真实验结果证明，该算法克服了等时间间隔数据采集算法没有考虑所采样数据的变化、采用统一采样时间间隔从而浪费网络带宽的缺点，在消耗相同网络带宽的情况下，自适应时间间隔数据采集算法的数据拟和曲线与等时间间隔数据采集算法的拟和曲线相比，失真度明显偏小。

STUDY OF A DATA SAMPLE POLICY IN NETWORK PERFORMANCE MANAGEMENT

Based on a lot of network performance management experience, the network performance data's changing rules and the shortcomings of the equal-interval sample algorithm are studied. The equal-interval sample algorithm is very popular in the present network management systems. A self-adaptive-interval sample algorithm is proposed. This algorithm adjusts the intervals based on the network performance data's change, and in this way it spends the network bandwidth more reasonably. Theoretical analysis and simulation shows that this algorithm can overcome the ignorance of the performance data's change of the equal-interval sample algorithm. Spending equal network bandwidth, a better precision can be gained by using the self-adaptive-interval sample algorithm.