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Improved Methods for Early Fault Detection in Enterprise Computing Servers Using SAS Tools

Overview Advanced telemetry systems are being developed to collect and archive hundreds of system performance, throughput, Quality-of-Service (QoS), and physical variables for the purpose of enhancing the reliability, availability, serviceability, scalability, and security of business-critical enterprise computing servers. SAS software was chosen for this project because of the language's powerful coding features and its ability to model prototype systems quickly and cost-effectively. SAS macro language was exploited in a parametric sensitivity study to explore and optimize clusters of signals that provide high sensitivity for early fault detection, but with a good avoidance of false alarms, for subsequent post-processing with an advanced statistical pattern-recognition surveillance system called MSET.

Further White Paper Details
Publisher	SAS Institute	File Format	PDF
Date Published	April 2004
Format	White Papers
Topics	N/A

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