Abstract
In passive network measurement, the quality of an observed traffic stream is obviously crucial to the quality of the results. Some sources of error (e.g., packet loss at a capture device) are well understood, others less so. In this work, we describe the inline data integrity measurement provided by the QoF TCP-aware flow meter. By instrumenting the data structures QoF uses for detecting lost and retransmitted TCP segments, we can provide an in-band, per-flow estimate of observation loss: segments which were received by the recipient but not observed by the flow meter. We evaluate this mechanism against controlled, induced error, and apply it to two data sets used in previous work. © 2014 IFIP International Federation for Information Processing.
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CITATION STYLE
Trammell, B., Gugelmann, D., & Brownlee, N. (2014). Inline data integrity signals for passive measurement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8406 LNCS, pp. 15–25). Springer Verlag. https://doi.org/10.1007/978-3-642-54999-1_2
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