On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
Testing the Gaussian approximation of aggregate traffic
Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
IEEE/ACM Transactions on Networking (TON)
A measurement study of available bandwidth estimation tools
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
An empirical evaluation of wide-area internet bottlenecks
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Ten fallacies and pitfalls on end-to-end available bandwidth estimation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Queueing Networks and Markov Chains
Queueing Networks and Markov Chains
Evaluation and characterization of available bandwidth probing techniques
IEEE Journal on Selected Areas in Communications
Bandwidth estimation: metrics, measurement techniques, and tools
IEEE Network: The Magazine of Global Internetworking
Laboratory-based calibration of available bandwidth estimation tools
Microprocessors & Microsystems
End-to-end available bandwidth as a random autocorrelated QoS-relevant time-series
Computer Networks: The International Journal of Computer and Telecommunications Networking
Minimizing file download time in stochastic peer-to-peer networks
IEEE/ACM Transactions on Networking (TON)
Path selection using available bandwidth estimation in overlay-based video streaming
Computer Networks: The International Journal of Computer and Telecommunications Networking
QoS-guaranteed path selection algorithm for service composition
Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
Passive aggressive measurement with MGRP
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Video streaming over in-home power line networks
IEEE Transactions on Multimedia - Special section on communities and media computing
Bandwidth measurement and management for end-to-end connectivity over IP networks
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Path selection using available bandwidth estimation in overlay-based video streaming
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Measuring bandwidth signatures of network paths
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
End-to-end quality of service seen by applications: A statistical learning approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
A non-intrusive estimation for high-quality Internet TV services
Multimedia Tools and Applications
MR-BART: Multi-Rate Available Bandwidth Estimation in Real-Time
Journal of Network and Computer Applications
Available bandwidth estimation for the network paths with multiple tight links and bursty traffic
Journal of Network and Computer Applications
Choreo: network-aware task placement for cloud applications
Proceedings of the 2013 conference on Internet measurement conference
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The available bandwidth (avail-bw) of a network path is an important performance metric and its end-to-end estimation has recently received significant attention. Previous work focused on the estimation of the average avail-bw, ignoring the significant variability of this metric in different time scales. In this paper, we show how to estimate a given percentile of the avail-bw distribution at a user-specified time scale. If two estimated percentiles cover the bulk of the distribution (say 10% to 90%), the user can obtain a practical estimate for the avail-bw variation range. We present two estimation techniques. The first is iterative and non-parametric, meaning that it is more appropriate for very short time scales (typically less than 100ms), or in bottlenecks with limited flow multiplexing (where the avail-bw distribution may be non-Gaussian). The second technique is parametric, because it assumes that the avail-bw follows the Gaussian distribution, and it can produce an estimate faster because it is not iterative. The two techniques have been implemented in a measurement tool called Pathvar. Pathvar can track the avail-bw variation range within 10-20%, even under non-stationary conditions. Finally, we identify four factors that play a crucial role in the variation range of the avail-bw: traffic load, number of competing flows, rate of competing flows, and of course the measurement time scale.