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ICAC
2008
IEEE

Clustering Analysis for the Management of Self-Monitoring Device Networks

9 years 4 months ago
Clustering Analysis for the Management of Self-Monitoring Device Networks
Abstract— The increasing computing and communication capabilities of multi-function devices (MFDs) have enabled networks of such devices to provide value-added services. This has placed stringent QoS requirements on the operations of these device networks. This paper investigates how the computational capabilities of the devices in the network can be harnessed to achieve self-monitoring and QoS management. Specifically, the paper investigates the application of clustering analysis for detecting anomalies and trends in events generated during device operation, and presents a novel decentralized cluster and anomaly detection algorithm. The paper also describes how the algorithm can be implemented within a device overlay network, and demonstrates its performance and utility using simulated as well as real workloads.
Andres Quiroz, Manish Parashar, Nathan Gnanasamban
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where ICAC
Authors Andres Quiroz, Manish Parashar, Nathan Gnanasambandam, Naveen Sharma
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