A self-optimization of the fault management strategy for device software

With the growth of network technologies, abundance of network resources, and increase of various services, mobile devices have gained much functionality and intelligence. At the same time, mobile devices are becoming complicated and many software related problems appear. The traditional remote repair method needs the software providers to supply fault information with corresponding repair strategy. It is inconvenient for users when the sold mobile devices have software faults. However, it is impossible for the manufacturers to supply all the fault information and repair-strategy before selling them. So far, no method has been given to collect repair-strategy from the sold mobile device and optimize the self-repair strategy. In this paper, we propose a self-optimization method to learn the software repair strategy from the sold mobile devices and to optimize self-repair strategy based on the Open Mobile Alliance (OMA) Device Management (DM) standard. The managed objects (MOs) are defined for collecting the strategy data and the self-optimization algorithm is proposed and implemented at the central server.