A method for integrating infrastructure software functions and automotive applications on an automotive electronic control unit (ECU) device. The ECU device includes a hardware architecture and a software architecture, wherein the hardware architecture includes two or more system-on-chips, at least two of which each comprise two or more processing cores and means to communicate with at least one other system-on-chip. The hardware architecture includes memory and means to communicate with other ECU devices. The software architecture includes one, two, or more virtual machine monitors, each of which executes one, two, or more virtual machines. At least two of said virtual machines each execute an operating system, which executes one, two, or more tasks, and the execution of two or more of the tasks uses the time-triggered paradigm. The tasks are tasks of automotive applications from at least two different automotive domains and are tasks of infrastructure software functions.

Disclosed is a failure management method in a network of nodes, including, for each considered node: first, a step of locally saving the state of this considered node, to a storage medium for this node in question. Then, if the considered node has failed, retrieving the local backup of the state of this considered node, by redirecting the link between the considered node and its storage medium to connect this storage medium to an operational node other than the considered node, this operational node already in the process of carrying out this calculation, the local backups of these considered nodes, used for the retrieving steps being coherent with each other so as to correspond to the same state of calculation. If a considered node failed, returning this local backup for this considered node to a new additional node added to the network at the time of the failure.

Techniques for system recovery using a failover processor are disclosed. A first processor, with a first instruction set, is configured to execute operations of a first type; and a second processor, with a second instruction set different from the first instruction set, is configured to execute operations of a second type. A determination is made that the second processor has failed to execute at least one operation of the second type within a particular period of time. Responsive to determining that the second processor has failed to execute at least one operation of the second type within the particular period of time, the first processor is configured to execute both the operations of the first type and the operations of the second type.

A remote data replication method and a storage system, where a production array sends a data replication request to a disaster recovery array. The data replication request includes an identifier of a source object and a data block corresponding to the source object. The data block is stored in physical space of a hard disk of the production array. The disaster recovery array receives the data replication request. The disaster recovery array creates a target object when the disaster recovery array does not include an object having a same identifier as the source object. An identifier of the target object is the same as the identifier of the source object, the disaster recovery array writes the data block into the physical space.

A computer-implemented method for testing failover may include: determining one or more cross-regional dependencies and traffic flow of an application in a first region of a cloud environment, wherein the one or more cross-regional dependencies include a dependency of the application in the first region of the cloud environment to one or more applications in at least one other region of the cloud environment; determining a risk score associated with performing failover of the application to a second region of the cloud environment at least based on the determined one or more cross-regional dependencies and traffic flow of the application; comparing the determined risk score with a predetermined risk score; in response to determining that the determined risk score is lower than the predetermined risk score, performing failover of the application to the second region of the cloud environment; isolating the second region of the cloud environment from the first region of the cloud environment for a predetermined period of time; and monitoring operation of the application in the second region of the cloud environment during the predetermined period of time.

A logical grouping of subgroups of server clusters forms a failover super-cluster. A logical grouping of groups of servers provides high availability by, upon failure of an entire group (site), failing over an entire subgroup to a different subgroup. Yet within each subgroup local failovers continue to maintain application high availability during instances in which the site remains operational.

When one of CPUs that perform a lock step operation fails and the failure type is an SW failure, the semiconductor device copies information held by an SR and a GR of the CPU operating normally to the CPU with the SW failure, thereby continuing a process without stopping the lock step operation. On the other hand, when the failure type is an HW failure, the failed CPU is stopped to continue the process with only the normal CPU.

Example embodiments relate generally to systems and methods for continuous data protection (CDP) and more specifically to an input and output (I/O) filtering framework and log management system to seek a near-zero recovery point objective (RPO).

The computer system includes a node including a processor and a memory, and the processor and the memory serve as arithmetic operation resources. The computer system has an application program that operates using the arithmetic operation resources, and a storage controlling program that operates using the arithmetic operation resources for processing data to be inputted to and outputted from a storage device by the application program. The computer system has use resource amount information that associates operation states of the application program and the arithmetic operation resources that are to be used by the application program and the storage controlling program. The computer system changes allocation of the arithmetic operation resources to the application program and the storage controlling program used by the application program on the basis of an operation state of the application program and the use resource amount information.

Methods and systems are provided for rapid failure recovery for a distributed storage system for failures by one or more nodes.