6 results about "Reliability management" patented technology

A compute apparatus and method provide redundancy-aware dynamic power and performance balancing. When redundant columns are activated to replace defective columns, a control processor or local controller automatically adjusts clock frequency, voltage, and workload mapping to maintain uniform timing, throughput, and thermal conditions across compute rows. Compensation is determined using telemetry feedback and predictive models and applied through per-row voltage regulators and clock circuits. The system preserves consistent performance after redundancy reconfiguration without manual recalibration, linking reliability management with real-time adaptive power control.

A method for managing reliability of a cloud application includes deploying one or more detection engines into a customer environment. The method also includes monitoring data related to the reliability of the cloud application from within the customer environment. The method further includes detecting, by the one or more detection engines, a parameter affecting the reliability based on a set of rules. In addition, the method includes generating a response to interrogate the customer environment based on the parameter.

The application discloses a video storage method, system, device and computer readable storage medium, relates to the technical field of video storage and reliability management, obtains existing consumption data of a target video on a storage space; a distribution model of the existing consumption data is generated; the distribution model is subjected to time correlation modeling to generate a prediction model; future consumption data of the target video on the storage space is generated based on the prediction model; based on the future consumption data, the target retention duration of the target video in the storage space is simulated; and in response to the target retention duration being less than a set retention duration, the storage mode of the target video is adjusted. The application generates future consumption data that conforms to overall distribution characteristics and time coherent changes with the aid of the prediction model, and the target retention duration obtained based on the future consumption data is more in line with the storage consumption of the target video and is more accurate. Therefore, when the storage mode of the target video is adjusted based on the target retention duration, it can be ensured that the retention duration of the target video meets the demand.

The application discloses a multi-battery cabin EMU cooperative safety upgrading method and system, and belongs to the technical field of electrochemical energy storage system operation and maintenance. The method comprises the following steps: constructing a dedicated high-reliability management network isolated from a business network and performing hierarchical health diagnosis; performing cluster state sensing and parallel file distribution based on adaptive sliding window and hash check; before executing an upgrading instruction, forcibly performing business safety interlocking inspection including bus voltage, cell temperature, state of charge and system silent window, triggering upgrading only under safe working conditions, and synchronously starting cluster state cooperative monitoring; after upgrading is completed, automatically performing full-cluster software version consistency check, and generating a structured audit report and an automatic fault disposal work order based on the check result. The application deeply embeds safety logic into the upgrading process, realizes cluster cooperative sensing and automatic operation and maintenance closed loop in the upgrading process, and significantly improves the safety, reliability and operation and maintenance efficiency of large-scale energy storage system software upgrading.