On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
A measurement study of available bandwidth estimation tools
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Self-configuring network traffic generation
Proceedings of the 4th 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
A Proposed Framework for Calibration of Available Bandwidth Estimation Tools
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Stochastic analysis of packet-pair probing for network bandwidth estimation
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Network modelling and simulation
Model-based end-to-end available bandwidth inference using queueing analysis
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Network modelling and simulation
The role of PASTA in network measurement
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
On sampling self-similar internet traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
A queueing-theoretic foundation of available bandwidth estimation: single-hop analysis
IEEE/ACM Transactions on Networking (TON)
Operational comparison of available bandwidth estimation tools
ACM SIGCOMM Computer Communication Review
A stochastic foundation of available bandwidth estimation: multi-hop analysis
IEEE/ACM Transactions on Networking (TON)
Techniques for available bandwidth measurement in IP networks: A performance comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Multifractality in TCP/IP traffic: the case against
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
Small-time scaling behavior of Internet backbone traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Long range dependent trafic
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
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
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Among the many active, available bandwidth estimation tools and methods that have appeared recently in the literature, none has emerged that is accurate and robust enough to function in different networking environments. One of the main reasons for this problem is the highly variable statistical nature of network traffic. We present a novel theoretical method for active measurement strategy analysis through self-similar process sampling analysis. The results obtained show a relationship between the main parameters in the measurement procedure, such as the number of samples, sample length, and sample distance. The study suggests that accurate measurements require the use of many samples and thus long measurement procedures, sometimes on the order of several minutes, depending on the amount of cross traffic. Additionally, through the analysis of several existing Internet packet traces, we recommend that the minimum single sample probe stream length must be longer than the average cross traffic interarrival. Following these findings, we propose a new method for available bandwidth estimation that has shown significant accuracy under different network setups.