Intelligent Automated Diagnosis of Client Device Bottlenecks in Private Clouds

Details Intelligent Automated Diagnosis of Client Device Bottlenecks in Private Clouds Intelligent Automated Diagnosis of Client Device Bottlenecks in Private Clouds

2012-04-26

arxiv.org/abs/1204.5805v1

Fourth IEEE International Conference on Utility and Cloud Computing (UCC), 2011

Computer Science

Networking and Internet Architecture

2011 Fourth IEEE International Conference on Utility and Cloud Computing (UCC)

Scientific paper

10.1109/UCC.2011.42

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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