基于自适应的多掩码抽样算法  

Multi-mask sampling algorithm based on self-adapt

作　　者：国凯平 高仲合[1] 宋先强[1] 刘泷[1] Guo Kaiping Gao Zhonghe Song Xianqiang Liu Shuang(School of Information Science and Engineering,Qufu Normal University ,Rizhao,276800,Chin)

机构地区：[1]曲阜师范大学信息科学与工程学院,山东日照276800

出　　处：《电子技术（上海）》2017年第1期4-5,3,共3页Electronic Technology

摘　　要：通过对多掩码抽样算法抽样比率固定、无法自适应网络流量变化等的研究,提出了自适应的多掩码抽样算法。该算法能够在保证抽样随机性的前提下,实现抽样比率对网络流量变化的自适应改变,减轻对高速、大容量存储设备的依赖性,减少抽样过程对网络链路的影响。Through the research on the sampling rate of the multi-mask sampling algorithm was fixed and it can not adapt to the network traffic changes, an self-adaptive multi-mask sampling algorithm was proposed. On the premise of guaranteeing the realization of random sampling,the algorithm achieved self-adaptive changes of the sampling rate to the network traffic, reduce the dependence on the high speed and large capacity storage device, and the effect of sampling process on the network link.

关 键 词：自适应 多掩码 抽样比率 抽样算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]