To efficiently recover from a multiple storage node failure, a storage node concurrently restores data fragments to the multiple failed storage nodes, as opposed to restoring each node individually. In the VCS based storage technique, storage nodes are restored as part of an ECG repair process. For each ECG being repaired, a storage node performing the restoration process reads data fragments from active nodes in the ECG and generates new data fragments to replace any lost data fragments. The node then stores one of the new data fragments across each of the failed storage nodes. By concurrently restoring data fragments to each failed storage node, the data fragments needed to repair each ECG are only read once, thereby preserving disk operations and network bandwidth.

A management method for managing an autopilot system fitted to an aircraft, the management method being adapted to manage at least one error in at least one succession of steps serving to generate at least one autopilot setpoint for the aircraft, the autopilot system comprising at least one computer serving to implement a plurality of successions of steps generating different autopilot setpoints for the aircraft. Such a method comprises an identification step serving to identify the at least one error, a calculation step for determining a total number of occurrences of the at least one error, a stop step serving to stop the at least one succession of steps, a reinitialization step for reinitializing the at least one succession of steps, and a relaunch step for relaunching the at least one succession of steps.

A radiation hardened single board computer (SBC) includes a processor; synchronous dynamic random-access memory (SDRAM); non-volatile memory; a field programmable gate array (FPGA); and board-level physical layer interfaces.

Apparatuses, systems, and methods for low latency parity for a memory device include a controller configured to accumulate, in a memory buffer, combined parity data for a plurality of regions of memory of a memory device in response to write operations for the plurality of regions of memory. The controller is configured to perform a recovery operation for a region of memory in response to determining that a latency setting for the region satisfies a latency threshold. The controller is configured to service a read request for data from the region based on a recovery operation to satisfy the latency setting.

According to one embodiment, when a code rate is less than 1, a controller encodes a plurality of pieces of write data to generate a codeword including the plurality of pieces of write data and one or more erasure recovery codes. The controller calculates a cumulative error count. The controller calculates at least one of a cumulative write amount or a cumulative read amount. The controller change the code rate such that the code rate is increased when a first value which is obtained by dividing the cumulative error count by the cumulative write amount or the cumulative read amount is less than a first threshold value, and the code rate is decreased when the first value is larger than or equal to a second threshold value.

A method includes generating parity data corresponding to a plurality of word lines coupled to blocks of a memory device and generating additional parity data for a block based on a physical location of the block. The method can further include performing a data recovery operation based on the parity data, the additional parity data, or a combination thereof.

A method for detecting and recovery from a soft error in a computing device is provided. In examples discussed herein, the method can be performed to detect soft errors that may occur during execution of a predefined critical instruction(s) and/or has been propagated in the computing device prior to the execution of the predefined critical instruction(s). Specifically, a software compiler may be used to embed an error detector block(s) after the predefined critical instruction(s). In this regard, the error detector block(s) can be executed after the predefined critical instruction(s) to detect the soft error. Accordingly, it may be possible to invoke a diagnosis routine to determine severity of the detected soft error and take appropriate action against the detected soft error. As such, it may be possible to protect the execution of the predefined critical instruction(s) concurrent to eliminating vulnerable voting intervals and reducing soft error detection overhead.

To ensure that there is an elected manager among storage nodes of an erasure coding group (ECG), an ECG manager (ECGM) election process is periodically performed among available storage nodes that are configured with the software to perform the services of an ECGM. When a storage node is activated, an ECGM process of the storage node begins executing and is assigned a process identifier (PID). A storage node can utilize a service query framework to identify other available storage nodes and retrieve their ECGM PIDs. The storage node then selects a PID according to a criterion and elects the storage node corresponding to the selected PID to be the acting ECGM. This process is performed periodically, so even if the acting ECGM storage node fails, a new ECGM is eventually selected from the available storage nodes.

Technology is disclosed for storing data in a distributed storage system using a virtual chunk service (VCS). In the VCS based storage technique, a storage node (node) is split into multiple VCSs and each of the VCSs can be assigned a unique ID in the distributed storage. A set of VCSs from a set of nodes form a storage group, which also can be assigned a unique ID in the distributed storage. When a data object is received for storage, a storage group is identified for the data object, the data object is encoded to generate multiple fragments and each fragment is stored in a VCS of the identified storage group. The data recovery process is made more efficient by using metadata, e.g., VCS to storage node mapping, storage group to VCS mapping, VCS to objects mapping, which eliminates resource intensive read and write operations during recovery.

A system wherein a request can be processed both in a cloud service and autonomously or locally via a client, and a monitoring of the network quality, for example, the presence of delay, is carried out, and wherein, depending on the current accessibility of the cloud platform, optionally a local alternative calculation is carried out, which may be slower or, for example in the event of real-time requirements, is of a lower quality than the corresponding cloud service, and the result thereof is then temporarily used alternatively by the client is provided. In this way, cloud services can be locally buffered, thereby cushioning connection interruptions between end device and cloud platform, whereby cloud services can be used in a transparent manner for the user and, even in the event of connection interruptions.