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arXiv · 1204.5805

Intelligent Automated Diagnosis of Client Device Bottlenecks in Private Clouds

C. Widanapathirana·J. Li·Y. A. Sekercioglu·M. Ivanovich·P. Fitzpatrick
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Abstract

We present an automated solution for rapid diagnosis of client device problems in private cloud environments: the Intelligent Automated Client Diagnostic (IACD) system. Clients are diagnosed with the aid of Transmission Control Protocol (TCP) packet traces, by (i) observation of anomalous artifacts occurring as a result of each fault and (ii) subsequent use of the inference capabilities of soft-margin Support Vector Machine (SVM) classifiers. The IACD system features a modular design and is extendible to new faults, with detection capability unaffected by the TCP variant used at the client. Experimental evaluation of the IACD system in a controlled environment demonstrated an overall diagnostic accuracy of 98%.

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C. Widanapathirana, J. Li, Y. A. Sekercioglu, M. Ivanovich, P. Fitzpatrick. 2012-04-26. Intelligent Automated Diagnosis of Client Device Bottlenecks in Private Clouds. https://doi.org/10.1109/ucc.2011.42

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