A measurement study of available bandwidth estimation tools
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Comparing Probe- and Router-Based Packet-Loss Measurement
IEEE Internet Computing
Strategies for sound internet measurement
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Improving accuracy in end-to-end packet loss measurement
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Detecting anomalies in network traffic using maximum entropy estimation
IMC '05 Proceedings of the 5th ACM SIGCOMM conference on Internet Measurement
Evaluation of active measurement tools for bandwidth estimation in real environment
E2EMON '05 Proceedings of the End-to-End Monitoring Techniques and Services on 2005. Workshop
Accurate and efficient SLA compliance monitoring
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
A Measurement-Based Modeling Approach for Network-Induced Packet Delay
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
LaasNetExp: a generic polymorphic platform for network emulation and experiments
Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities
Network performance assessment using adaptive traffic sampling
NETWORKING'08 Proceedings of the 7th international IFIP-TC6 networking conference on AdHoc and sensor networks, wireless networks, next generation internet
Metrics and QoE assessment in P2PTV applications
International Journal of Internet Protocol Technology
Glaucus: predicting computing-intensive program's performance for cloud customers
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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Traditional approaches to on-line end-to-end Service Level Agreement (SLA) assessment have focused on the estimation of network QoS parameters. These approaches, however, face a trade-off between accuracy and the amount of resources needed to achieve such accuracy. This paper offers an alternative approach, where instead of estimating QoS parameters, we propose an effective and lightweight solution for directly detecting SLA violations. Our solution monitors the Inter-Packet Arrival Time (IPAT) at an end-point, wherein current IPAT distributions are periodically compared with a set of reference IPAT distributions as the main basis for detecting SLA violations. A mapping of the IPAT distribution with the current network conditions is derived, and a training algorithm that dynamically acquires the set of reference IPAT distributions is designed. For the comparison of the IPAT distributions, we propose a variant of the Hausdorff Distance algorithm. Our variant provides a better accuracy than the traditional Hausdorff Distance, while presenting linear complexity. Our proposal is validated in a real testbed, by comparing the SLA violations detected and the resources required in terms of bandwidth, with other existing alternatives as well as with perfect knowledge of current network QoS status.