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Frame of Interest Approach on Quality of Prediction for Agent-based Network Monitoring
Citation key Schulzetal:2003:QualityOfPrediction
Author Stefan Schulz and Michael Schulz and Andreas Tanner
Title of Book Proceedings of the International Conference on Architecture of Computing Systems 2004 (ARCS'04)
Pages 246–259
Year 2004
ISBN 3-540-21238-8
Address Augsburg, Germany
Volume 2981
Month mar
Publisher Springer
Series Lecture Notes in Computer Science (LNCS)
Abstract We present an approach to compute the quality of prediction for network monitoring. The monitoring is part of a proactive mobile agents based management system for network health (magmaNH). To allow prediction of a system's behavior, magmaNH contains prediction services placed on core nodes of a network. To make predictions as precise as possible, a measure and a process have to be defined, which enable to determine the quality of predictions. This measure of quality enables magmaNH optimizing the prediction services to become a reliable support system for automated network management.
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