The Compression Storage and Multi-dimensional Aggregation of NetFlow Traffic Data
Zhang Yan-hua · Journal of China Academy of Electronics and Information Technology · 2009
The paper accomplished the collection,compression storage and multi-dimensional aggregation of network traffic data on NetFlow.It ensured the accuracy and efficiency of data by making use of sample collection,and then,In allusion to the mass characteristic of network data,the paper proposed a fixed threshold and variable threshold data compression,greatly reduced the volume of data storage.In addition,according to different needs of statistical analysis,the paper put forward a multi-dimensional aggregation structure,covering time,protocol,IP address,port and other information in data streams.Finally,the real data streams were used in statistical analysis,and achieved good results.