期刊文献+

流量数据时间机系统的数据存储改进

Improving the Traffic Storage based on Time Ime Machine for Network Traffic
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摘要 介绍了一种在高速网络通信量的环境下俘获流量并对流量进行存储、反馈的性能较优的系统和几种流行的数据压缩算法。将压缩算法引入该系统,采用两级索引重新设计改进了系统的分类存储模块,在不改变时间机对数据的访问速度前提下,提高了时间机的空间利用率;且通过对三种压缩算法的实验结果进行全面的分析,得出结论将最优压缩算法gzip应用与流量数据系统的数据存储部分,让系统能存储更多的网络流量且能将存储数据保留更长的时间。 In this paper,we introduce a Time Machine(TM) for high-volume network traffic,which can be enormously helpful to achieve the raw contents of a net-work traffic stream to disk,to enable later inspection of activity that becomes interesting only in retrospect.I redesigned the classification and storage modules with compression algorithm and two-level index to enhance the space utilization keeping the speed of accessing the data stored;Through comprehensive analysising of experimental results using three compression algorithms,the optimal algorithm-GZIP is selected to be used in the storage module of the TM to make the TM store more network traffic and store the traffic longer.
作者 徐珊 张佳
出处 《计算机安全》 2012年第11期46-50,共5页 Network & Computer Security
关键词 时间机 压缩算法 存储空间 GZIP Time machine Compression algorithm Two-level index Network traffic Storage space
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参考文献5

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