Modeling IP traffic using the batch Markovian arrival process
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Network performance monitoring at small time scales
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
LISA'10 Proceedings of the 24th international conference on Large installation system administration
Modeling Internet backbone traffic at the flow level
IEEE Transactions on Signal Processing
Dimensioning network links: a new look at equivalent bandwidth
IEEE Network: The Magazine of Global Internetworking
Measurement artifacts in netflow data
PAM'13 Proceedings of the 14th international conference on Passive and Active Measurement
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Bandwidth estimation is one of the prerequisite for efficient link dimensioning. In the past, several approaches to bandwidth estimation have been proposed, ranging from rules-of-thumb providing over-provisioning guidelines to mathematically backed-up provisioning formulas. The limitation of such approaches, in our eyes, is that they largely rely on packet-based measurements, which are almost unfeasible considering nowadays load and speed (1---10 Gbps). In this context, flow-based measurements seems to be a suitable alternative, addressing both data aggregation as well as scalability issues. However, flows pose a challenge for bandwidth estimation, namely the coarser data granularity compared to packet-based approaches, which can lead to a lower precision in the estimation of the needed bandwidth. In this paper, we investigate what is the impact of flow-based measurements on bandwidth estimation. In particular, we are interested in quantifying the impact of flows on main statistical traffic characteristics, in particular the traffic rate variance. Our approach is validated on real traffic traces captured from 2002 to 2011 at the University of Twente.