End-to-end Internet packet dynamics
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput
IEEE/ACM Transactions on Networking (TON)
System capability effects on algorithms for network bandwidth measurement
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
A measurement study of available bandwidth estimation tools
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Strategies for sound internet measurement
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Bandwidth estimation in broadband access networks
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
A Proposed Framework for Calibration of Available Bandwidth Estimation Tools
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Comparison of End-to-End Bandwidth Measurement Tools on the 10GigE TeraGrid Backbone
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
Operational comparison of available bandwidth estimation tools
ACM SIGCOMM Computer Communication Review
NetQuest: a flexible framework for large-scale network measurement
IEEE/ACM Transactions on Networking (TON)
Assolo, a New Method for Available Bandwidth Estimation
ICIMP '09 Proceedings of the 2009 Fourth International Conference on Internet Monitoring and Protection
Techniques for available bandwidth measurement in IP networks: A performance comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking
The quest for bandwidth estimation techniques for large-scale distributed systems
ACM SIGMETRICS Performance Evaluation Review
Traceband: A fast, low overhead and accurate tool for available bandwidth estimation and monitoring
Computer Networks: The International Journal of Computer and Telecommunications Networking
Do you trust your software-based traffic generator?
IEEE Communications Magazine
UANM: a platform for experimenting with available bandwidth estimation tools
ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
End-to-end available bandwidth estimation tools, an experimental comparison
TMA'10 Proceedings of the Second international conference on Traffic Monitoring and Analysis
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
Evaluation and characterization of available bandwidth probing techniques
IEEE Journal on Selected Areas in Communications
Editorial: Special issue on service delivery management in broadband networks
Journal of Network and Computer Applications
Active techniques for available bandwidth estimation: comparison and application
DataTraffic Monitoring and Analysis
| Hi-index | 0.00 |
In the field of network monitoring and measurement, the efficiency and accuracy of the adopted tools is strongly dependent on (i) structural and dynamic characteristics of the network scenario under measurement and (ii) on manual fine tuning of the involved parameters. This is, for example, the case of the end-to-end available bandwidth estimation, in which the constraints of the measurement stage vary according to the use of the final results. In this work, we present UANM (unified architecture for network measurement), a novel measurement infrastructure for the automatic management of measurement stages, tailored to the end-to-end available bandwidth estimation tools. We describe in detail its architecture, illustrating the features we introduced to mitigate the problems affecting available bandwidth estimation in heterogeneous scenarios. To provide evidences of UANM benefits, we present an experimental validation in three selected scenarios deployed over a real network testbed to (i) quantify the overhead introduced by the use of UANM, (ii) show how UANM is able to alleviate the interferences among concurrent measurements, and (iii) illustrate how UANM is capable to provide more accurate results thanks to the knowledge of the network environment. Finally, for the first time in literature, we provide a ''fair comparison'' of eight available bandwidth estimations tools in terms of accuracy, probing time, and intrusiveness.