Adaptive signatures of soft-failures in end-user devices using aggregated TCP statistics

We present a new approach for effective soft-failure characterization in end-user devices (EUDs) on networks that support the TCP/IP. Our method can be employed for creating fully automated, accurate and scalable fault diagnostic systems. First, we describe Normalized Statistical Signatures (NSSs),...

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Bibliographische Detailangaben

Hauptverfasser:	Widanapathirana, Chathuranga, Li, Jonathan C., Ivanovich, Milosh V., Fitzpatrick, Paul G., Sekercioglu, Y. Ahmet
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Bandwidth Delays Feature extraction Performance evaluation Robustness Training
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