5 results about "Processor time" patented technology

Embodiments of the present disclosure provide a processor time scheduling and container creation method, a device, a medium, and a program product. In the embodiments of the present disclosure, in order to implement flexible processor bandwidth control in a secure container, by means of extending a virtual processor core allocated to a conventional secure container, a constraint requiring one-to-one correspondence between usage duration (Quota) in the conventional secure container and virtual processor cores is broken, and the secure container can use the extended virtual processor core to consume unconsumed duration accumulated by a historical scheduling cycle under a high load, so that flexible processor bandwidth control is implemented, thereby meeting burst load demand and improving service quality of the secure container.

The invention relates to the technical field of resource allocation, in particular to a wind turbine generator state monitoring method based on edge computing, which comprises the following steps of: acquiring a vibration data block of a wind turbine generator, computing time domain kurtosis, comparing the kurtosis with a preset warning line and an alarm line, judging a scheduling mode of a monitoring task and generating an activation instruction, and calling a fast Fourier-K transform processing data block based on an instruction, identifying a main frequency band center frequency with the highest energy, querying a frequency-time slice mapping table in a kernel based on the frequency, and adjusting an execution time upper limit of a monitoring task. According to the method, the vibration kurtosis is analyzed through edge nodes, the monitoring frequency is dynamically adjusted according to the health state, state-driven monitoring is achieved, when fault signs are recognized, a main frequency band is extracted through fast Fourier transform, the center frequency is used for adjusting processor time slices, computing resources are matched for fine diagnosis, and the resource efficiency and the response speed are improved; and efficient scheduling of computing power and sensitive response of operation and maintenance are realized.

Embodiments of the present application disclose a task processing method, device and equipment, a computer storage medium and a computer program product, which comprise: performing grouping processing on a to-be-processed training task for model training to obtain multiple groups of training subtasks, and assigning each group of training subtasks a corresponding service node; executing the multiple groups of training subtasks in a parallel processing manner through the multiple service nodes corresponding to each group of training subtasks; stopping execution of a target group of training subtasks in which a target service node is located when a fault occurs in the target service node during execution of the multiple groups of training subtasks; determining a backup service node, and executing unexecuted training subtasks in the target group of training subtasks through the backup service node and other service nodes; the other service nodes are service nodes corresponding to the target group of training subtasks except the target service node, and the problem of a large amount of waste of processor time is solved.

This invention provides a method for secure startup and end-to-end authentication of DCS controllers based on trusted computing, relating to the field of industrial control system security. The method includes performing layer-by-layer integrity measurements on the controller's startup firmware and software components to generate a set of hierarchical measurement values, and periodically performing memory checks during operation to generate runtime measurement values. Deviation measurements are then calculated and encapsulated as bi-state credentials. Simultaneously, relevant measurement values ​​are linked by a timestamp-based chained hash to generate an evidence chain. During inter-controller communication, credentials and evidence chains are exchanged. By calculating negotiated measurements and adaptive thresholds, resource allocation ratios are dynamically determined, and processor time slices and memory space are allocated to and executed for peer control commands. This invention achieves dynamic trusted authentication and resource isolation throughout the entire lifecycle of the controller from startup to operation, improving the overall security of the DCS system.

This invention provides a laboratory safety self-control method and system for fault self-diagnosis. The method includes: S1 periodically and actively generating health labels through self-checks; S2 dividing the time slice of a single processor into execution time slots and self-test time slots, calculating the CRC signature of key data in the execution time slot, executing test vectors and comparing them with historical signatures in the self-test time slot, and locking the output to a safe state via independent hardwired connection in case of a fault; S3 based on incremental causal graph and online parameter learning, collecting samples using fault labels, updating the conditional probability table through online EM, automatically expanding the causal graph structure through normalized mutual information, and outputting the fault type and confidence level using confidence propagation; S4 actuator closed-loop feedback and hardwired bypass protection; S5 dynamic reconstruction degradation fault tolerance; S6 emergency shutdown and solidification. This invention achieves high-coverage fault detection with a single processor, eliminates blind spots of common faults, and simultaneously achieves small-sample adaptive and accurate fault reasoning, significantly improving system reliability and intelligence.