The present disclosure relates to systems, methods, and computer readable media for identifying and responding to one or more power loss events on a computing node. For example, systems disclosed herein may relate to management of a power loss event on a computing node hosting one or more compute platforms thereon. The systems disclosed herein may implement a power handling configuration that identified a subset of data from a volatile portion of a storage system to prioritize for storage on a non-volatile portion of the storage system. By selectively identifying and flushing data associated with compute platforms hosted by a computing node, systems described herein may significantly reduce demand for capacitance on cloud computing systems while optimizing other performance parameters (e.g., write performance, hardware durability) of devices on cloud computing systems.

In a computing device it may be determined whether to power down a subsystem based on how long the subsystem has been idle and based on one or more measurements of subsystem current consumption, subsystem bandwidth usage, and subsystem efficiency. An idle power-down count value may be determined based on the measurements, using predetermined relations among subsystem current consumption, subsystem bandwidth usage, and subsystem efficiency. The subsystem may be powered down based on a determination of whether the subsystem has been idle for an interval not less than the idle power-down count value.

Apparatuses and methods for preventing accidental-shutdown in a robot-assisted surgical device are disclosed. An exemplary control apparatus includes an on/off key configured to trigger a start action or a shutdown action, an on/off control module configured to detect the shutdown action of the on/off key and obtain a shutdown intention through man-machine interaction, and an on/off hardware circuit configured to detect the start action and send a signal to a power supply. The on/off hardware circuit is configured to detect the shutdown action of the on/off key and a shutdown control signal sent by the on/off control module and send a signal to cut off the power supply. The control apparatus can reduce the probability of accidental shutdown caused by system software and hardware failure or man-made mis-operation and improve the operating reliability of the robot-assisted surgical device without significantly increasing cost.

Aspects of the disclosure include a non-transitory computer-readable medium storing computer-executable instructions for controlling at least one uninterruptible power supply (UPS) configured to provide power to at least one server executing one or more services, the instructions instructing at least one processor to receive an indication of the services initiating a shutdown procedure, determine that a predicted shutdown time (PST) of the shutdown procedure exceeds a baseline shutdown time (BST) to perform the shutdown procedure, the BST being less than an available runtime of the UPS, control the UPS to continue providing power to the server responsive to determining that the PST is less than the available runtime and that the PST exceeds the BST, receive an indication that the shutdown procedure is successfully executed over an actual shutdown time (AST), and update the BST responsive to determining that the AST is different than the BST.

An electronic system includes a main chip, a non-volatile storage circuit, and a detector circuit. The main chip is configured to read first time of a clock circuit. The non-volatile storage circuit is coupled to the main chip. The main chip stores the first time into the non-volatile storage circuit. The detector circuit includes a first output terminal. The first output terminal is coupled to the main chip. When a cold boot event occurs, the main chip reads the first time from the non-volatile storage circuit, and determines a reason of the cold boot event according to the first time, a second time of the clock circuit, and a logic value at the first output terminal.

Methods, systems, and apparatus, including computer-readable media, for automated idle environment shutdown. In some implementations, activity of a server environment is monitored over a period of time. A measure of user-initiated activity of the server environment is determined based on the monitored activity of the server environment over the period of time. The level of user-initiated activity over the period of time is determined to be less than a threshold level. In response to determining that the level of user-initiated activity over the period of time is less than the threshold level, shut down of the server environment is initiated.

A direct pivot smart tower box communication system is disclosed. The direct pivot smart tower box communication system includes a plurality of wheel sensor modules, a plurality of tower box modules, and a pivot center module. The plurality of wheel sensor modules are coupled to respective wheel hubs of respective towers of a direct pivot irrigation system. The plurality of tower box modules are coupled to the respective towers of the direct pivot irrigation system, wherein a tower box module includes a tower box module controller and is in communication with a wheel sensor module at a same tower as the tower box module. The pivot center module is coupled to the pivot center, wherein the pivot center module includes a pivot center module controller and is in communication with the plurality of tower box modules.

A reconfigurable data processor includes an array of configurable units. The array includes a two or more sub-arrays of configurable units, and sub-arrays of configurable units in the plurality of sub-arrays of configurable units are configurable to separately execute different programs. The reconfigurable data processor also includes a force-quit controller connected to the array. The force-quit controller can stop execution of a particular program on a particular sub-array of configurable units and reset the particular sub-array of configurable units, while remaining sub-arrays of configurable units continue execution of their respective programs.

Analytics-based optimized maintenance operations for a hyper-converged infrastructure are described. An example includes instructions to establish an order for a sequence of maintenance operations including collecting data points that relate to high availability of multiple nodes in a storage infrastructure; performing analysis of the collected data, including discovery of groups of nodes that don't have mutual relations with other paired nodes; receiving a request to perform a maintenance operation for the plurality of nodes; generating an ordered sequence of groups of nodes for the maintenance operation based at least in part on the analysis of the collected data, each group including one or more nodes; and performing the maintenance operation for the plurality of nodes according to the sequence of groups of nodes, wherein the maintenance operation includes a power cycle for each of the plurality of nodes.

Software, firmware, and systems are described herein that permit an organization to dock previously-utilized, limited-feature data management modules with a full-featured data management system. By docking limited-feature data management modules to a full-featured data management system, metadata and data from the various limited-feature data management modules can be integrated and utilized more efficiently and effectively. Moreover, additional data management features can be provided to users after a more seamless transition.