Abstract: According to one embodiment, an apparatus has first and second connectors configured for removably connecting to one another. The first connector circuit has a first differential amplifier, a first differential signal path, a first capacitor section capacitively coupling the first differential amplifier to the first differential signal path, and a first DC biasing circuit for imparting a first DC bias to the first differential signal path opposite the first capacitor section. The second connector circuit has a second differential amplifier, a second differential signal path, a second capacitor section capacitively coupling the second differential amplifier to the second differential signal path, and a second DC biasing circuit for imparting a second DC bias to the second differential signal path opposite the second capacitor section having a different magnitude than the first DC bias when the first and second connector are not connected.

Abstract: Systems and methods for detecting and analyzing elevated temperatures at a component rack to identify and characterize air recirculation anomalies. In one embodiment, temperatures are sensed in proximity to an air intake of the component rack. Temperature sensors communicate with a workstation having system management software including a thermal management component for analyzing air intake temperatures. Predefined temperature differentials (PTD) are established, corresponding to expected temperature differentials between the selected locations in the absence of any appreciable recirculation. The PTD provides a threshold for comparing with “actual” temperature differentials (ATD) to identify the presence and/or mode of recirculation. If an ATD exceeds a corresponding PTD for a predefined time interval, a signal is output. The mode of recirculation, such as left-side, right-side, or dual-surface recirculation, may be determined using as few as four temperature sensors positioned at a zone of interest (ZOI).

Abstract: According to one embodiment, an apparatus has first and second connectors configured for removably connecting to one another. The first connector circuit has a first differential amplifier, a first differential signal path, a first capacitor section capacitively coupling the first differential amplifier to the first differential signal path, and a first DC biasing circuit for imparting a first DC bias to the first differential signal path opposite the first capacitor section. The second connector circuit has a second differential amplifier, a second differential signal path, a second capacitor section capacitively coupling the second differential amplifier to the second differential signal path, and a second DC biasing circuit for imparting a second DC bias to the second differential signal path opposite the second capacitor section having a different magnitude than the first DC bias when the first and second connector are not connected.

Abstract: Systems and methods for detecting and analyzing elevated temperatures at a component rack to identify and characterize air recirculation anomalies. In one embodiment, temperatures are sensed in proximity to an air intake of the component rack. Temperature sensors communicate with a workstation having system management software including a thermal management component for analyzing air intake temperatures. Predefined temperature differentials (PTD) are established, corresponding to expected temperature differentials between the selected locations in the absence of any appreciable recirculation. The PTD provides a threshold for comparing with “actual” temperature differentials (ATD) to identify the presence and/or mode of recirculation. If an ATD exceeds a corresponding PTD for a predefined time interval, a signal is output. The mode of recirculation, such as left-side, right-side, or dual-surface recirculation, may be determined using as few as four temperature sensors positioned at a zone of interest (ZOI).

Abstract: Systems and methods for detecting and analyzing elevated temperatures at a component rack to identify and characterize air recirculation anomalies. In one embodiment, temperatures are sensed in proximity to an air intake of the component rack. Temperature sensors communicate with a workstation having system management software including a thermal management component for analyzing air intake temperatures. Predefined temperature differentials (PTD) are established, corresponding to expected temperature differentials between the selected locations in the absence of any appreciable recirculation. The PTD provides a threshold for comparing with “actual” temperature differentials (ATD) to identify the presence and/or mode of recirculation. If an ATD exceeds a corresponding PTD for a predefined time interval, a signal is output. The mode of recirculation, such as left-side, right-side, or dual-surface recirculation, may be determined using as few as four temperature sensors positioned at a zone of interest (ZOI).

Abstract: Systems and methods for detecting and analyzing elevated temperatures at a component rack to identify and characterize air recirculation anomalies. In one embodiment, temperatures are sensed in proximity to an air intake of the component rack. Temperature sensors communicate with a workstation having system management software including a thermal management component for analyzing air intake temperatures. Predefined temperature differentials (PTD) are established, corresponding to expected temperature differentials between the selected locations in the absence of any appreciable recirculation. The PTD provides a threshold for comparing with “actual” temperature differentials (ATD) to identify the presence and/or mode of recirculation. If an ATD exceeds a corresponding PTD for a predefined time interval, a signal is output. The mode of recirculation, such as left-side, right-side, or dual-surface recirculation, may be determined using as few as four temperature sensors positioned at a zone of interest (ZOI).

Abstract: A method (and system) for increased software dependability, includes learning how to predict an outage of a software system running on a computer, and, based on the learning, predicting an imminent outage, and avoiding the outage.