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In this paper, we propose a method to address the issue of link loss inference in uncertain networks. Although numerous loss inference methods have been proposed in recent years, most of them ignore the unstable states of networks. That is, the performances of real network environments, such as link loss rates and end-to-end routes, are constantly changing. Ignoring these uncertain factors of the...
In this paper, we introduce a network performance anomaly detection and localization method based on active probing, aiming at avoiding waste of unnecessary probes and reducing detecting time by decreasing selecting rounds in detection phase. We propose a method of classifying detection strategies in order to find a balance between extra calculation and link load. Also we optimized the procedures...
Overlay network monitoring is one of the most important issues in the design and operation of overlay networks. It faced with increasing demand for better throughput and response time performance. Given an overlay network with n end hosts, existing systems either require O (n2) measurements, and thus lack scalability, or can only estimate the latency but not failures or congestion. We propose a scalable...
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