Narus, Inc.

Su Chen

Antonio Nucci

Supranamaya Ranjan

Ranjan Supranamaya

The present invention relates to a method of compressing data in a network, the data comprising a plurality of packets each having a header and a payload, the header comprising a plurality of header fields, the method comprising generating a classification tree based on at least a portion of the plurality of header fields, determining a inter-packet compression plan based on the classification tree, and performing inter-packet compression in real time for each payload of at least a first portion of the plurality of packets, the inter-packet compression being performed according to at least a portion of the inter-packet compression plan.

System and method for network data compression

An important component of network monitoring is to collect traffic data which is a bottleneck due to large data size. We introduce a new table compression method called 'Group Compression' to address this problem. This method uses a small training set to learn the relationship among columns and group them; the result is a 'compression plan'. Based on this plan, each group is compressed separately. This method can reduce the compressed size to 60%-70% of the IP flow logs compressed by GZIP.

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Somerset, NJ, United States of America

Su Chen