International Business Machines Corporation

Antonio Sgro′

Stefano Borghetti

Gianluca Della Corte

Leonida Gianfagna

A method is presented for rebooting a local data processing entity requiring an access code to boot. The method may include receiving, on a local entity, an access code from a remote entity. The access code may be stored on an auxiliary device coupled to the local entity. The local entity may receive a reboot command from the remote entity and begin rebooting in response thereto. The auxiliary device may provide the access code to the local entity in response to the beginning of the reboot. The access code may then be deleted from the auxiliary device.

Remote computer rebooting tool

A method, computer program product and system for dynamically changing a trace level, and optionally the trace size, depending on a recognized critical path. In one embodiment of the invention, a method of dynamic software tracing includes identifying one or more critical patterns of a software code which can influence its execution; allocating a software logging metric to each identified critical pattern; searching for one or more critical patterns in the software code to determine one or more actual critical patterns; and attributing the software logging metric associated with each identified critical pattern to the actual critical pattern to discover areas in the software code that may impact performance.

Dynamic software tracing

Monitoring systems with predictive failure analysis technology (e.g., Self Monitoring Analysis and Reporting Technology (S.M.A.R.T)) operate on the basis of correlations between the hard disk's mechanical and electronic characteristics. Using wavelet transforms to analyze electrical signals from the hard disks can help better determine changes in values and trends in various hard disk characteristics. Using wavelet transforms allows for thorough and deeper analysis of the electrical signals from the hard disks. Wavelet analysis can be performed on the electrical signal to extract time and frequency information associated with the low and high frequency components. Analyzing the extracted components of the electrical signal can indicate a presence and position of one or more mechanical defects on the hard disk.

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Girifalco, Italy

Antonio Sgro′