Richard S Harper

8032331, Oct 4, 2011

May 28, 2008

12/128540

Angela Beth Dalton - Austin TX, US
Richard Edwin Harper - Chapel Hill NC, US
William Joseph Piazza - Holly Springs CA, US

International Business Machines Corporation - Armonk NY

G06F 11/00

702186

Thermal diagnostic systems and methods are provided for improved detection of airflow anomalies in a computer system. In particular, processor load is selectively increased to amplify the effects caused by any airflow anomaly that may be present in the computer system. Workload migration may be used to shift processor load from another node to a target node. Artificial load may also be generated on the target node. The processor load increased to a level sufficient that an airflow anomaly would cause a detectable temperature difference at the selected node. The processor load may be increased by an amount computed to generate this detectable temperature difference. Alternatively, the processor load may be increased by a predetermined amount of between 40% and 100% of full processor utilization. While at the increased processor load, actual temperature sensed by temperature sensors may be compared to temperatures predicted from the model to detect the presence or absence of an airflow anomaly.

20080147363, Jun 19, 2008

Dec 19, 2006

11/612786

Angela Beth Dalton - Austin TX, US
Richard Edwin Harper - Chapel Hill NC, US
William Joseph Piazza - Holly Springs NC, US

G06G 7/56

703 5

Thermal diagnostic systems and methods are provided for improved detection of airflow anomalies in a computer system. In particular, processor load is selectively increased to amplify the effects caused by any airflow anomaly that may be present in the computer system. Workload migration may be used to shift processor load from another node to a target node. Artificial load may also be generated on the target node. The processor load increased to a level sufficient that an airflow anomaly would cause a detectable temperature difference at the selected node. The processor load may be increased by an amount computed to generate this detectable temperature difference. Alternatively, the processor load may be increased by a predetermined amount of between 40% and 100% of full processor utilization. While at the increased processor load, actual temperature sensed by temperature sensors may be compared to temperatures predicted from the model to detect the presence or absence of an airflow anomaly.