End-to-end internet packet dynamics
IEEE/ACM Transactions on Networking (TON)
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
Packet-dispersion techniques and a capacity-estimation methodology
IEEE/ACM Transactions on Networking (TON)
On the applicability of available bandwidth estimation techniques and tools
Computer Communications
Comparison of public end-to-end bandwidth estimation tools on high-speed links
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Application-oriented network metrology: metrics and active measurement tools
IEEE Communications Surveys & Tutorials
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
Large scale probabilistic available bandwidth estimation
Computer Networks: The International Journal of Computer and Telecommunications Networking
PMSW: a passive monitoring system in wireless sensor networks
International Journal of Network Management
Unified architecture for network measurement: The case of available bandwidth
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
Active techniques for available bandwidth estimation: comparison and application
DataTraffic Monitoring and Analysis
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Available bandwidth estimation techniques are being used in network monitoring and management tools to provide information about the utilization of the network and verify the compliance of service level agreements. However, the use of these techniques in other applications and network environments is limited by the long convergence times, accuracy errors, and the amount of overhead that they introduce. In this paper, we introduce Traceband, a hidden Markov model-based technique for end-to-end available bandwidth estimation and monitoring that improves these performance metrics and therefore promises to expand the use of these techniques in other scenarios. Traceband is evaluated and compared with Spruce and Pathload using Poisson and self-similar cross-traffic. Experimental results in a controlled environment with Poisson cross-traffic demonstrate that Traceband is as accurate as Spruce and Pathload but considerably faster, and introduces less overhead. Traceband's convergence time is demonstrated using bursty cross-traffic, as it is the only tool that accurately reacts to zero-traffic periods, which may be particularly useful for those applications that need to make decisions in real time. Using self-similar traffic, Traceband's mean accuracy and variability degrade with the Hurst parameter but it still performs within reasonable limits. A general and optional moving average algorithm is also introduced to solve these issues.