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IEEE/ACM Transactions on Networking (TON)
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IMW '01 Proceedings of the 1st ACM SIGCOMM Workshop on Internet Measurement
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Convergence Technologies for 3G Networks: IP, UMTS,EGPRS and ATM
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Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
MultiQ: automated detection of multiple bottleneck capacities along a path
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Packet-dispersion techniques and a capacity-estimation methodology
IEEE/ACM Transactions on Networking (TON)
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ACM SIGCOMM Computer Communication Review
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WICON '05 Proceedings of the First International Conference on Wireless Internet
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CoNEXT '05 Proceedings of the 2005 ACM conference on Emerging network experiment and technology
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ACM SIGCOMM Computer Communication Review
Unwanted traffic in 3G networks
ACM SIGCOMM Computer Communication Review
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Computer Networks: The International Journal of Computer and Telecommunications Networking
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USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
Fractals and Scaling In Finance: Discontinuity, Concentration, Risk
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IEEE Transactions on Signal Processing
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IEEE Network: The Magazine of Global Internetworking
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TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
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TMA'10 Proceedings of the Second international conference on Traffic Monitoring and Analysis
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In this work we address the problem of inferring the presence of a capacity bottleneck from passive measurements in a 3G mobile network. The study is based on one month of packet traces collected in the UMTS core network of mobilkom austria AG & Co KG, the leading mobile telecommunications provider in Austria, EU. During the measurement period a bottleneck link in the UMTS core network was revealed and removed, therefore the traces enable the accurate analysis and comparison of the traffic behavior in the two network conditions: with and without a capacity bottleneck. Two approaches to bottleneck detection are investigated. The first one is based on the signal analysis of the marginal rate distribution of the traffic aggregate along one day cycle. Since TCP-controlled traffic dominates the overall traffic mix, the presence of a bottleneck strains the aggregate rate distribution and compresses it against the capacity limit during the peak hour. The second approach is based on the analysis of several TCP performance parameters, e.g. estimated frequency of retransmissions. Such statistics are unstable due to the presence of few top users, but this effect can be counteracted with simple filtering methods. Both approaches are validated via simulations. Our results show that both approaches can be used to provide early warning about future occurrences of capacity bottlenecks, and can complement other existing monitoring tools in the operation of a production network.