摘要:
One embodiment of the present invention provides a system that performs parallel grouping decomposition to facilitate expedited training of a support vector machine (SVM). During operation, the system receives a training dataset comprised of data vectors. The system then determines whether any data vector in the dataset violates conditions associated with a current SVM. Next, the system divides the violating data vectors into a number of subsets, thereby allowing parallel SVM training for each subset. The system subsequently builds an independent SVM for each subset in parallel based on the current SVM. The system then constructs a new SVM to replace the current SVM based on the SVMs built for each subset of violating data vectors.
摘要:
Some embodiments provide a system that analyzes telemetry data from a monitored system. During operation, the system obtains the telemetry data as a set of telemetric signals from the monitored system and groups the telemetry data into one or more clusters of correlated telemetric signals from the telemetric signals. Next, the system increases a bandwidth associated with monitoring the telemetric signals. To increase the bandwidth, the system omits one or more of the correlated telemetric signals from each of the clusters during sampling of the telemetric signals and estimates the omitted correlated telemetric signals by applying a nonlinear, nonparametric regression technique to the sampled telemetric signals.
摘要:
Some embodiments of the present invention provide a system that controls a device that characterizes the health of a computer system power supply. During operation, a signature for the power supply is generated based on measurements of a set of performance parameters for the power supply. Then, the health of the power supply is characterized based on a comparison between the signature for the power supply and signatures for one or more other power supplies.
摘要:
Some embodiments of the present invention provide a system that monitors a connection in a computer system between a connector and a component coupled to the connector. During operation, a first motion parameter of the connector, and a second motion parameter of the component are measured. Then, the connection is monitored by comparing information related to the first motion parameter and information related to the second motion parameter.
摘要:
Some embodiments of the present invention provide a system for scheduling spin-up operations for a set of hard disk drives (HDDs) in a computer system. During operation, the system determines an available power of the computer system. Next, one or more HDDs are selected from the set of HDDs to be spun-up based on the available power and the power required to spin up each HDD. Then, spin-up operations are scheduled for the selected HDDs.
摘要:
Some embodiments provide a system that analyzes telemetry data from a monitored system. During operation, the system obtains the telemetry data as a set of telemetric signals from the monitored system and groups the telemetry data into one or more clusters of correlated telemetric signals from the telemetric signals. Next, the system increases a bandwidth associated with monitoring the telemetric signals. To increase the bandwidth, the system omits one or more of the correlated telemetric signals from each of the clusters during sampling of the telemetric signals and estimates the omitted correlated telemetric signals by applying a nonlinear, nonparametric regression technique to the sampled telemetric signals.
摘要:
Some embodiments of the present invention provide a system that generates a simulated vibration pattern in a computer subsystem. During operation, a vibration pattern is monitored at a location in the computer subsystem, wherein the vibration pattern is monitored while the computer subsystem is incorporated into the computer system and the computer system is operating. Then, the vibrations of the computer subsystem are mimicked by generating the simulated vibration pattern at the same location in the computer subsystem based on the monitored vibration pattern.
摘要:
Some embodiments of the present invention provide a system that characterizes a response of a component in a computer system to vibrations generated by the computer system. First, the system measures the response of the component to vibrations in a frequency range while the component is located outside of the computer system. The system also measures vibrations generated by the computer system in the frequency range during operation of the computer system, wherein the vibrations are measured at a location in the computer system which is configured to receive the component. The system then characterizes the response of the component to vibrations generated by the computer system based on the measured response of the component to vibrations in the frequency range and the measured vibrations in the frequency range at the location.
摘要:
Some embodiments of the present invention provide a system for scheduling spin-up operations for a set of hard disk drives (HDDs) in a computer system. During operation, the system determines an available power of the computer system. Next, one or more HDDs are selected from the set of HDDs to be spun-up based on the available power and the power required to spin up each HDD. Then, spin-up operations are scheduled for the selected HDDs.
摘要:
One embodiment of the present invention provides a system that optimizes subset selection to facilitate parallel training of a support vector machine (SVM). During operation, the system receives a dataset comprised of data points. Next, the system evaluates the data points to produce a class separability measure, and uses the class separability measure to partition the data points in the dataset into N batches. The system then performs SVM training computations on the N batches in parallel to produce support vectors for each of the N batches. Finally, the system performs a final SVM training computation using an agglomeration of support vectors computed for each of the N batches to obtain a substantially optimal solution to the SVM training problem for the entire dataset.