Abstract: A method of processing requests from users of a computer system having software and hardware components, wherein each request includes a description of an software or hardware issue, includes: upon receiving a first request, performing content matching using a first instance of the data model to determine if the issue described in the first request has been previously encountered; executing a machine learning algorithm against a new data set to update a second instance of the data model; after the second instance of the data model has been updated, switching the data model used for performing content matching from the first to the second instance of the data model; and upon receiving a second request after the switch, performing content matching using the second instance of the data model to determine if the issue described in the second request has been previously encountered.

Abstract: Provided are a method, an apparatus and a device for detecting abnormity of an energy metering chip. The method includes: inputting a target self-test signal to a to-be-tested component of a target energy metering chip in response to the target energy metering chip beginning to run under driving of a power signal; acquiring a first output signal from an output terminal of the to-be-tested component, and inputting the first output signal to a notch filter; inputting a second output signal from an output terminal of the notch filter to a signal correlator, and acquiring a third output signal from an output terminal of the signal correlator; and detecting a running state of the to-be-tested component based on the third output signal, to determine whether the target energy metering chip is abnormal.

Abstract: Provided are a method, an apparatus and a device for detecting abnormity of an energy metering chip. The method includes: inputting a target self-test signal to a to-be-tested component of a target energy metering chip in response to the target energy metering chip beginning to run under driving of a power signal; acquiring a first output signal from an output terminal of the to-be-tested component, and inputting the first output signal to a notch filter; inputting a second output signal from an output terminal of the notch filter to a signal correlator, and acquiring a third output signal from an output terminal of the signal correlator; and detecting a running state of the to-be-tested component based on the third output signal, to determine whether the target energy metering chip is abnormal.

Abstract: A method of processing requests from users of a computer system having software and hardware components, wherein each request includes a description of an software or hardware issue, includes: upon receiving a first request, performing content matching using a first instance of the data model to determine if the issue described in the first request has been previously encountered; executing a machine learning algorithm against a new data set to update a second instance of the data model; after the second instance of the data model has been updated, switching the data model used for performing content matching from the first to the second instance of the data model; and upon receiving a second request after the switch, performing content matching using the second instance of the data model to determine if the issue described in the second request has been previously encountered.

Abstract: A computer-implemented method and computer system for managing a group of storage devices in a storage system utilizes actual wear levels of the storage devices within the group of storage devices to sort the storage devices in an order. One of the storage devices is then selected as a target storage device based on wear level gaps between adjacent sorted storage devices using a target storage device wearing profile so that write operations from software processes are directed exclusively to the target storage device for a predefined period of time to control wear on the group of storage devices.

Abstract: A computer-implemented method and computer system for managing a group of storage devices in a storage system utilizes actual wear levels of the storage devices within the group of storage devices to sort the storage devices in an order. One of the storage devices is then selected as a target storage device based on wear level gaps between adjacent sorted storage devices using a target storage device wearing profile so that write operations from software processes are directed exclusively to the target storage device for a predefined period of time to control wear on the group of storage devices.