Patent

Error prediction and predictive memory maintenance through real time machine learning methods

ELTRUN E-Business Research Center members Aikaterini Pramatari,Elias Polytarchos and Cleopatra Bardaki have submitted the patent entitled : Error prediction and predictive memory maintenance through real time machine learning methods. The invention disclosed herein concerns a method and a system to predict, in a collaborative manner, failures of the non-volatile data storage of embedded devices. These predictions allow the predictive and preventive maintenance of the devices and also provide an estimation of the impact of maintenance or the failure (e.g. downtime, service interruption). This is achieved through the process, analysis, and correlation in real time, through machine learning methods, of data streams that contain messages regarding the status of flash storage in devices.