MALAWI: aggregated longitudinal analysis of the MAWI dataset

Authors:
João Taveira Araújo;Kensuke Fukuda
Affiliations:
University College London;National Institute of Informatics
Venue:
Proceedings of The ACM CoNEXT Student Workshop
Year:
2011

Citing 2
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Abstract

The importance of measurement and analysis of Internet traffic is constantly reasserted as the Internet expands and shifts in often unpredictable ways. The MAWI dataset [1], which provides daily traces across a trans-Pacific link over the past decade, has often been used to analyze traffic from a network perspective. In this paper we focus on information contained at the transport layer and present MALAWI (Measurement and Aggregated Longitudinal Analysis on the WIDE Internet) a new dataset derived from MAWI which extracts information from traced TCP flows and aggregates these statistics by geographical location, AS and network prefix. We briefly illustrate the usefulness of this new dataset by analyzing a month of data to observe the impact of the Tohoku earthquake on delay and loss.