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Building robust network monitoring applications is hard given the unpredictable nature of network tra?c. Complex analysis on streaming network data usually leads to overload situations when presented with anomalous tra?c, extreme tra?c mixes or highly variable rates. The paper presents an on-line predictive load shedding scheme for monitoring systems that quickly reacts to overload situations by gracefully degrading the accuracy of analysis methods. The main novelty of the approach is that it does not require any knowledge of the monitoring applications. This way the paper preserves a high degree of flexibility, increasing the potential uses of these systems. The paper implemented the scheme in an existing network monitoring system and deployed it in a research ISP network.

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Format:PDFSize:197 KB
Date:Oct 2007
Pages:12

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