Provided is a method for orchestrating a container-based application that is executed on a terminal device, in which implementation information is received in an orchestration slave unit on the terminal device via a communication connection from an orchestration master unit, and the application is configured and/or controlled by the orchestration slave unit based on the implementation information, wherein the received implementation information is additionally saved persistently in a memory unit in the terminal device, and if the communication connection to the orchestration master unit is interrupted, the most recently saved implementation information is retrieved from the orchestration slave unit and the application is configured and/or controlled based on the most recently saved implementation information.

A memory system includes a memory device including plural non-volatile memory blocks and a controller configured to determine whether a first memory block among the plural non-volatile memory blocks is re-usable after the first memory block is determined to be a bad block and copy second block information associated with a second memory block including a second program sequence number within a set range of a first program sequence number in the first memory block to first block information of the first memory block.

In some embodiments, a processing system includes at least one hardware block configured to change operation as a function of configuration data, a non-volatile memory including the configuration data for the at least one hardware block, and a configuration module configured to read the configuration data from the non-volatile memory and provide the configuration data read from the non-volatile memory to the at least one hardware block. The configuration module is configured to: receive mode configuration data; read the configuration data from the non-volatile memory; test whether the configuration data contain errors by verifying whether the configuration data are corrupted and/or invalid; and activate a normal operation mode or an error operation mode based on whether the configuration data contain or do not contain errors.

A fault recoverable computer system including an instruction table having a plurality of processor instructions. The system also includes at least one sensor arranged to monitor an environmental condition and output sensor data. A monitor module is arranged to receive sensor data and/or processor state information. A testing module is arranged to perform a plurality of self-tests including a first self-test of the computer system and, if the first self-test fails, output a failure notification. A recovery module is arranged to update the instruction table in response to receiving the failure notification. The update includes replacing a first processor instruction arranged to perform a first function with a replacement set of processor instructions configured to alternatively perform the first function.

Diagnosing whether controllers of internal vehicle systems are the source of failures detected by a system control managing a vehicle such as a spacecraft. Highspeed data is received via at a field programmable gate array (FPGA) embedded in an assembly of the vehicle. The FPGA includes a controller and a digital diagnostic interface. In one embodiment, the diagnostic interface utilizes Very Highspeed Integrated Circuit (VHSIC) Hardware Description Language (VHDL) for performance modeling of a controller configured to control at least one internal system within the vehicle. The VHDL performance models the controller. Upon receiving an indication of a failure, the performance modeling of the controller is used to ascertain whether or not the controller is the source of the failure. Disassembly of the assembly housing the internal system is not required in order to ascertain whether or not the controller is the source of the failure.

Input on a plurality of attributes of a computing environment is provided to a machine learning module to produce an output value that comprises a risk score that indicates a likelihood of a potential malfunctioning occurring within the computing environment. A determination is made as to whether the risk score exceeds a predetermined threshold. In response to determining that the risk score exceeds a predetermined threshold, an indication is transmitted to indicate that potential malfunctioning is likely to occur within the computing environment. A modification is made to the computing environment to prevent the potential malfunctioning from occurring.

A device to be controlled used for an operation of a vehicle, a determination device used for controlling the device, and a control information management device different from the determination device are included. The determination device generates control information defining a control content of the device to be controlled, the control information management device includes a control information comparison unit which determines an operating state of the determination device based on the control information, and a control switching unit which changes the control of the determination device based on a determination result of the control information comparison unit, and the control information comparison unit determines, based on the control information and a plurality of pieces of control condition information which define control conditions of the device to be controlled by the determination device, which control condition information among the plurality of pieces of control condition information is to be applied.

A memory system includes dynamic random-access memory (DRAM) components that include interconnected and redundant component data interfaces. The redundant interfaces facilitate memory interconnect topologies that accommodate considerably more DRAM components per memory channel than do traditional memory systems, and thus offer considerably more memory capacity per channel, without concomitant reductions in signaling speeds. The memory components can be configured to route data around defective data connections to maintain full capacity and continue to support memory transactions.

A device that can efficiently manage capacity of a backup auxiliary storage device in an auxiliary storage device and a method of managing backup auxiliary storage device are disclosed. The auxiliary storage device includes an original auxiliary storage device, a backup auxiliary storage device, and a user input device. A controller that controls these devices is disclosed. The backup auxiliary storage device stores recovery information about the original auxiliary storage device. The user input device receives a user input for switching between a normal mode and a backup mode. When in the normal mode, the controller controls the auxiliary storage device so that a host computer boots using an OS in the original auxiliary storage device and is not able to access the backup auxiliary storage device.

A method can include receiving, by a high-availability (HA) service running in a data center having a plurality of virtual machines (VMs) and a hypervisor, credentials for the hypervisor and a list of VMs, the hypervisor credentials and the list of VMs received from a power and capacity management (PCM) service, the PCM service configured to selectively power VMs from the list of VMs on and off; sending, from the HA service to the PCM service, a health check request to determine if the PCM service is able of selectively power the VMs from the list of VMs on and off; and in response to determining the PCM service is unable to selectively power the VMs from the list of VMs on and off, powering on, by the HA service, one or more of the VMs from the list of VMs using the hypervisor credentials received from the PCM service.