An accelerating boot time system includes a memory and a processor. The memory is configured to pre-store a boot process to be performed on the first boot. The processor is configured to directly read the boot process from the memory and execute the boot process when the first boot is performed. Also, the processor executes a monitoring process to monitor a plurality of hardware usage rates of the plurality of devices each time the device is powered up, and inserts the hardware usage rates into a machine learning algorithm to determine whether a particular process supported by the devices is abnormal.

The application discloses a service information processing method, apparatus, device, and computer storage medium, relating to the technical field of cloud computing. The specific implementation scheme is: sending polling information to a target process of a service running in a container according to a set time interval, wherein the target process is one of a plurality of processes running in the container; receiving reply information returned by the target process in response to the polling information; and obtaining the survival status of the target process according to the reply information.

The invention is part of the field of computer technology. It describes the architecture of a secure automation system and a method for safe autonomous operation of a technical apparatus, in particular a motor vehicle. The architecture disclosed herein solves the problem that any Byzantine error in one of the complex subsystems of a distributed real-time computer system, regardless of whether the error was triggered by a random hardware failure, a design error in the software or an intrusion, must be recognized and controlled in such a way that no security-relevant incident occurs. The architecture includes four largely independent subsystems which are arranged hierarchically and each form an isolated Fault-Containment Unit (FCU). At the top of the hierarchy is a secure subsystem, which executes simple software on fault-tolerant hardware. The other three subsystems are insecure because they contain complex software executed on non-fault-tolerant hardware.

A data processing method includes: in the case where an operation state of an audio/video device in a target driving device is an out of operation state, generating an out of operation state notification message of the audio/video device; and sending the out of operation state notification message to a push client for stopping a data push between the push client and a push server using the out of operation state notification message.

A method comprises receiving a notification of an issue with at least one component of a plurality of components in a computing environment. One or more machine learning algorithms are used to determine one or more components of the plurality of components impacted by the issue with the at least one component. The method further comprises collecting operational data for the at least one component and the one or more impacted components.

The field of the disclosure relates generally to a method and system for analyzing behavior of a computer infrastructure and the displaying the behavior of the computer infrastructure in a graphical manner. The system comprises an analytical engine connected to agents running on devices in the computer infrastructure and analyzing continuous data and asynchronous data.

A method and an apparatus for migrating virtual machine includes monitoring a status of a compute node; determining whether the compute node meets a trigger condition; wherein the trigger condition comprising a time period of lost connection of the compute node reaches a predetermined time period, or an unstable status of the compute node; and if the compute node meets the trigger condition, transmitting a message to a control node to migrate the VM.

A method and system for migrating data and metadata from a first backup system to a second backup system via a content staging system is disclosed. The system accesses the backup data from the first backup system and restores it, along with the associated metadata, to a staging system. A metadata file is created at the staging system which comprises of the metadata that is to be migrated to the second backup system. The system then migrates the data from the staging system to the second backup system. The metadata is also migrated to the second backup system in a format such that it can be indexed. As a result, the migrated data can be browsed and searched based on one or more search criteria based on the associated metadata. Other details are provided herein.

A mainframe processing system comprises a memory operable to store data transformation instructions and one or more processors, at least one of the one or more processors operably coupled to the memory. The one or more processors are configured to receive batch processing data from one or more data sources, transform the batch processing data into a plurality of mainframe processes based on the data transformation instructions, and dispatch each mainframe process to a respective mainframe site. The batch processing data received by the processor indicates a plurality of batch processes formatted for mainframe processing as a batch. Each batch process is transformed to a respective mainframe process formatted for mainframe processing on an individual basis.

Techniques for enabling secure access to data using data blocks is described. Computing device(s) can provide instruction(s) to a component associated with an entity, wherein the instruction(s) are associated with an identifier corresponding to a data block of a plurality of data blocks. The computing device(s) can receive, from the component, data associated with the component, wherein the data is associated with the identifier and is indicative of a state of the component. The computing device(s) can store the data in the data block and monitor, using rule(s), changes to the state of the component based at least partly on the data in the data block. As a result, techniques described herein enable near real-time—and in some examples, automatic—reporting and/or remediation for correcting changes to the state of the component using data that is securely accessed by use of data blocks.