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
Accurate and efficient SLA compliance monitoring
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Measuring Interaction QoE in Internet Videoconferencing
MMNS '07 Proceedings of the 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services: Real-Time Mobile Multimedia Services
Task-execution scheduling schemes for network measurement and monitoring
Computer Communications
Monitoring of SLA compliances for hosted streaming services
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
Multiobjective monitoring for SLA compliance
IEEE/ACM Transactions on Networking (TON)
Do you trust your software-based traffic generator?
IEEE Communications Magazine
Restoration measurements on an IP/MPLS backbone: the effect of fast reroute on link failure
Proceedings of the Nineteenth International Workshop on Quality of Service
FaReCast: fast, reliable application layer multicast for flash dissemination
Proceedings of the ACM/IFIP/USENIX 11th International Conference on Middleware
On service-oriented network measurement architecture with mobile agent
ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
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Synthetic or active measurements are often used to characterize IP performance; however, it is rare to find them used to resolve problems in an operational setting. We show that the active monitoring system in the AT&T IP backbone provide's a comprehensive view of network performance that is complementary to traditional element level monitoring, making it an integral part of network management. This paper discusses the design and implementation of these active measurements in the network. We continuously monitor "path-level" performance metrics such as round-trip delay, loss, jitter, and reordering events to proactively detect impairments. Our system relies on the promotion of key metrics to the operational displays, while maintaining a rich set of statistics for analyzing rare and unforeseen events. This timely information enables us to react,quickly to performance degradation, avoiding any sustained effect on customer applications. The results also help us understand the network's ability to support time-sensitive application performance. Selected "interesting" events observed are presented, including detection of degradation caused by low-level bit errors on a physical link, detection of route changes on the network and their impact on real-time applications, and finally detection of reordering caused by forwarding loops.