Scalable integrated performance analysis of multi-gigabit networks

Scalable integrated performance analysis of multi-gigabit networks. Kissel, E., El-Hassany, A., Fernandes, G., Swany, M., Gunter, D., Samak, T., & Schopf, J. In Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012, 2012.
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Monitoring and managing multi-gigabit networks requires dynamic adaptation to end-to-end performance characteristics. This paper presents a measurement collection and analysis framework that automates the troubleshooting of end-to-end network bottlenecks. We integrate real-time host, application, and network measurements with a common representation (compatible with perfSONAR) within a flexible and scalable architecture. Our measurement architecture is supported by a light-weight eXtensible Session Protocol (XSP), which enables context-sensitive adaptive measurement collection. We evaluate the ability of our system to analyze and detect bottleneck conditions over a series of high-speed and I/O intensive bulk data transfer experiments and find that the overhead of the system is very low and that we are able to detect and understand a variety of bottlenecks. © 2012 IEEE.

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 abstract = {Monitoring and managing multi-gigabit networks requires dynamic adaptation to end-to-end performance characteristics. This paper presents a measurement collection and analysis framework that automates the troubleshooting of end-to-end network bottlenecks. We integrate real-time host, application, and network measurements with a common representation (compatible with perfSONAR) within a flexible and scalable architecture. Our measurement architecture is supported by a light-weight eXtensible Session Protocol (XSP), which enables context-sensitive adaptive measurement collection. We evaluate the ability of our system to analyze and detect bottleneck conditions over a series of high-speed and I/O intensive bulk data transfer experiments and find that the overhead of the system is very low and that we are able to detect and understand a variety of bottlenecks. © 2012 IEEE.},
 bibtype = {inproceedings},
 author = {Kissel, E. and El-Hassany, A. and Fernandes, G. and Swany, M. and Gunter, D. and Samak, T. and Schopf, J.M.},
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