Detecting an imminent failure of a power supply. An internal computerized component periodically reads a set of measurements from one or more sensors affixed to a power supply. The internal computerized component and power supply may reside in a variety of different technical contexts. The internal computerized component analyzes the set of measurements using, at least in part, a weighted set of factors, to detect the imminent failure in the power supply. The weighted set of factors may be updated or revised over time and may be specifically tailored for use with specific types of power supplies.

A method for managing a client environment includes obtaining, by a client environment watcher of a production host environment, a set of actions performed by the client environment operatively connected to the production host environment, in response to obtaining the set of actions: performing an action filtering on the set of actions to obtain a set of filtered actions, wherein the set of filtered actions is associated with an attempt to resolve an issue with performing an application upgrade on the client environment, determining, using the set of filtered actions, a client-applied action set, and initiating an update to an issue analyzer model to obtain an updated issue analyzer model.

A clock module includes a main precision oscillator generating a first clock signal of a predetermined frequency, a receiving module receiving a time reference and providing a time reference signal controlling the main oscillator, and a detector for detecting a failure of the main oscillator or of the time reference signal. The detector includes: a second oscillator not controlled by the clock module and delivering a second clock signal of predetermined frequency; and a processor configured to measure a first phase difference between the first clock signal and the time reference signal, a second phase difference between the first clock signal and the second clock signal, and a third phase difference between the time reference signal and the second clock signal. The processor is configured to calculate calculating drifts of the first order of the three phase differences measured so as to determine respective variations of the three phase differences.

Disclosed herein are methods and systems enabling automatic powering on and off of a computer of a user when the user is within a predetermined range from the computer. When there is a startup error detected during the remote powering on process of the computer, an alert is generated and automatically transmitted to an analyst computer to resolve the startup error. The disclosed systems and methods save a lot of time for the user each day as the user does not have to wait for execution of computer startup processes and the computer is ready to use when the user arrives at a location of their computer.

A method for anomaly detection of cloud services based on mining time-evolving graphs includes steps of receiving tracing data for a plurality of micro-services of the deployed cloud service, wherein the tracing data defines relationships between the plurality of micro-services of the deployed cloud service at a plurality of different time intervals, computing a functional graph based on the tracing data for each of the plurality of different time intervals, wherein nodes of each functional graph include the plurality of micro-services and wherein links between the nodes represent relationships between the plurality of micro-services, comparing the functional graphs for each of the plurality of time intervals to determine an anomaly score for each of the functional graphs, and detecting a presence of one or more anomalies based on the anomaly scores.

An image forming apparatus includes a storage portion, a communication portion, a mechanism control portion, and a main control portion. The storage portion stores various kinds of information as to the image forming apparatus. The communication portion exchanges data and instructions with another image forming apparatus. The mechanism control portion controls operation of a mechanical system in the image forming apparatus. The main control portion performs a job related to a function of the image forming apparatus by controlling operation of constituent elements including the mechanism control portion in the image forming apparatus, and transmits an instruction to make the other image forming apparatus perform the job via the communication portion if, on detecting an error, the main control portion determines that only the main control portion has been rebooted based on a specific error of the image forming apparatus that is same as the error previously in the job.

Embodiments of the present invention, which relate to the field of electronic technologies, provide a monitoring method, a monitoring apparatus, and an electronic device, which can accurately locate an error point in MPI information delivered by a system chip. The apparatus may include: an address filter, a read/write controller connected to the address filter, and a memory connected to the read/write controller, where the address filter is configured to acquire multiple pieces of MPI information, and obtain, by filtering the multiple pieces of MPI information, first MPI information corresponding to a first service that is preset; the read/write controller is configured to write, into the memory according to a time sequence of receiving the first MPI information, the first MPI information that is obtained by the address filter by filtering; and the memory is configured to store the first MPI information written by the read/write controller.

Disclosed is an interface control circuit including an error detection unit, an error correction unit, and an adjustment control unit. The error detection unit is configured to detect whether an error occurs in error correction coded data transmitted via an interface. The error correction unit is configured to execute error correction processing of correcting the error when the error occurs. The adjustment control unit is configured to start adjustment processing of adjusting a transmission characteristic of the interface when the error occurs.

A smart exception handler system for safety-critical real-time systems is provided. The system is configured to: receive a plurality of parameters at a plurality of nodal points in a real-time execution path; analyze the received parameters using a trained exception handling model, wherein the trained exception handling model has been trained using machine learning techniques to learn the critical path of execution and/or critical range of parameters at critical nodes, wherein the critical range of parameters comprises a learned threshold at a node; compute, using the trained exception handling model, a probability of fault at the critical nodes; compare the probability of fault at a critical node against a learned threshold at the node; and take proactive action in real-time to avoid the occurrence of a fault when the probability of fault at the node is higher than the learned threshold at the node.

Methods, computing systems and computer program products implement embodiments of the present invention that include configuring, at a first time, a clustered storage system comprising multiple modules to store and process storage requests for respective sets of data objects. While processing the storage requests, respective subsets of the data objects having one or more data errors are identified, and at a second time subsequent to the first time, respective modules storing each of the data objects having at least one data error are identified. computing, based on the identified modules, a frequency distribution of the identified data errors in the data objects over the multiple modules. Based on the frequency distribution, a failure in a given module is identified, and the identified module is removed from the storage system. In some embodiments, prior to the second time, the data objects can be redistributed among the modules of the storage system.