A method of predicting failures of data storage devices in a data storage network. In predicting failures, birth and/or health records of data storage devices in the data storage network are requested. The records are then scaled and thresholded and processed using a probabilistic neural network to classify the data storage devices. Based on the classification, an action is taken to improve the reliability and availability of the data storage network.

 
Web www.patentalert.com

< Defect diagnosis for semiconductor integrated circuits

< Threshold voltage roll-off compensation using back-gated MOSFET devices for system high-performance and low standby power

> Adaptive startup policy for accelerating multi-disk array spin-up

> Application container that allows concurrent execution on multiple Nodes in a Cluster

~ 00208