Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
On the nonstationarity of Internet traffic
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Globally Distributed Content Delivery
IEEE Internet Computing
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
IEEE/ACM Transactions on Networking (TON)
SplitStream: high-bandwidth multicast in cooperative environments
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Sketch-based change detection: methods, evaluation, and applications
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Assessing the quality of voice communications over internet backbones
IEEE/ACM Transactions on Networking (TON)
Spatio-temporal network anomaly detection by assessing deviations of empirical measures
IEEE/ACM Transactions on Networking (TON)
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While the Internet offers a single best-effort service, we remark that (i) core backbones are in general over provisioned, (ii) end users have increasingly faster access and (iii) CDN and p2p solutions can mitigate network variations. As a consequence, the Internet is to some extent already mature enough for the deployment of multimedia applications and applications that require long and fast transfers, e.g. software or OS updates. In this paper, we devise a tool to investigate the stationarity of long TCP transfers over the Internet, based on the Kolomogorov-Smirnov goodness of fit test. We use BitTorrent to obtain a set of long bulk transfers and test our tool. Experimental results show that our tool correctly identify noticeable changes in the throughput of connections. We also focus on receiver window limited connections to try to relate the stationarity observed by our tool to typical connection behaviors.