# Revisiting the Issues On Netflow Sample and Export Performance

## TL;DR

This paper analyzes the impact of NetFlow sampling on traffic monitoring accuracy, examining how different traffic patterns affect sampling effectiveness and discussing methods to mitigate information loss.

## Contribution

It provides a detailed assessment of NetFlow sampling performance across various traffic profiles and proposes techniques to compensate for monitoring inaccuracies.

## Key findings

- Sampling can distort traffic statistics, especially for certain traffic patterns.
- Accuracy loss varies depending on traffic profile and flow criteria.
- Proposed compensation techniques improve monitoring fidelity.

## Abstract

The high volume of packets and packet rates of traffic on some router links makes it exceedingly difficult for routers to examine every packet in order to keep detailed statistics about the traffic which is traversing the router. Sampling is commonly applied on routers in order to limit the load incurred by the collection of information that the router has to undertake when evaluating flow information for monitoring purposes. The sampling process in nearly all cases is a deterministic process of choosing 1 in every N packets on a per-interface basis, and then forming the flow statistics based on the collected sampled statistics. Even though this sampling may not be significant for some statistics, such as packet rate, others can be severely distorted. However, it is important to consider the sampling techniques and their relative accuracy when applied to different traffic patterns. The main disadvantage of sampling is the loss of accuracy in the collected trace when compared to the original traffic stream. To date there has not been a detailed analysis of the impact of sampling at a router in various traffic profiles and flow criteria. In this paper, we assess the performance of the sampling process as used in NetFlow in detail, and we discuss some techniques for the compensation of loss of monitoring detail.