A vehicle communication system includes a switching hub incorporated in a vehicle and including a switch IC and an external CPU. The switch IC includes an internal CPU and performs a transfer process of transferring information to a communication device. The external CPU is provided outside the switch IC and connected to the switch IC, and has higher information processing capability than the internal CPU. The external CPU can perform a transfer order process of ordering to transfer information to the communication device and perform a security process of securing the security of the information to be transferred when the transfer order process is performed. The internal CPU monitors the operation of the external CPU and when the external CPU is abnormal, performs the transfer order process instead of the external CPU.

A high frequency snapshot technique improves data replication in a disaster recovery (DR) environment. A base snapshot is generated from failover data at a primary site and replicated to a placeholder file at a secondary site. Upon commencement of the base snapshot generation and replication, incremental light weight snapshots (LWSs) of the failover data are captured and replicated to the secondary site. A staging file at the secondary site accumulates the replicated LWSs (“high-frequency snapshots”). The staging file is populated with the LWSs in parallel with the replication of the base snapshot at the placeholder file. At a subsequent predetermined time interval, the accumulated LWSs are synthesized to capture a “checkpoint” snapshot by applying and pruning the accumulated LWSs at the staging file. Once the base snapshot is fully replicated, the pruned LWSs are merged to the base snapshot to synchronize the replicated failover data.

Recovery points can be used for replicating a virtual machine and reverting the virtual machine to a different state. A filter driver can monitor and capture input/output commands between a virtual machine and a virtual machine disk. The captured input/output commands can be used to create a recovery point. The recovery point can be associated with a bitmap that may be used to identify data blocks that have been modified between two versions of the virtual machine. Using this bitmap, a virtual machine may be reverted or restored to a different state by replacing modified data blocks and without replacing the entire virtual machine disk.

For each respective virtual machine (VM) of a plurality of VMs, a distributed computing system generates a unique Application Binary Interface (ABI) for an operating system for the respective VM, compiles a software application to use the unique ABI, and installs the operating system and the compiled software application on the respective VM. A dispatcher node dispatches, to one or more VMs of the plurality of VMs that provide a service and are in the active mode, request messages for the service. Furthermore, a first host device may determine, in response to software in the first VM invoking a system call in a manner inconsistent with the unique ABI for the operating system of the first VM, that a failover event has occurred. Responsive to the failover event, the distributed computing system fails over from the first VM to a second VM.

A command is transmitted to a storage device to relocate first data that partially fills a first erase block of the storage device and second data that partially fills a second erase block of the storage device to a third erase block of the storage device, wherein the command causes the relocation of the first data and the second data while bypassing sending the data to the storage controller. An acknowledgement that the first data and the second data have been stored at the third erase block is received from the storage device.

An online system, such as a multi-tenant system ensures high availability of systems, for example, database management systems. The online system replicates the databases across multiple datacenters including: (1) a master node that receives read and write requests (2) a read-replica that receives only read requests and (3) a spare node that does not receive requests but acts as standby for high availability. One or more application servers may send read and write requests to the databases. The system performs a sweep of upgrades of the database nodes and also performs traffic quiescing of the requests received from the application servers to redirect the traffic across the database nodes as the upgrade sweep is orchestrated. The sweep of upgrades ensures that the availability of the database management system to the end users is maximized during the upgrade process.

Dynamically scaling control plane for ingress services for large numbers of applications with minimal traffic disruption includes receiving an estimate of a number of applications to be executed by multiple clusters implemented by an orchestrator platform. Each cluster includes multiple containers. The multiple clusters implement a centralized controller that control execution of the applications by the multiple clusters. The centralized controller is sharded into a variable number of controllers that collectively control the estimated number of applications based on the estimate of the number of applications and a pre-determined number of applications that each controller can control. Each controller of the variable number of controllers controls an execution of a respective subset of the applications. In response to a change in the number of applications over time, the number of controllers is modified based on a number of applications to be executed by the multiple clusters at any given time.

A method, computer program product, and computing system for operating an autonomous vehicle; monitoring the operation of a plurality of computing devices within the autonomous vehicle; and in response to detecting the failure of one or more of the plurality of computing devices, switching the autonomous vehicle from a nominal autonomous operational mode to a degraded autonomous operational mode.

Examples described herein relate to execution of multiple Reliability Availability Serviceability (RAS) processes on different processors of the at least two processors to provide fallback from a first RAS process to a second RAS process executing on a processor of the at least two processors based on failure or timeout of the first RAS process. In some examples, the different processors comprise independently operating processors whereby failure or inoperability of one of the different processors is independent of another of the different processors. In some examples, failure or timeout of the first RAS process comprises failure of the second RAS process to receive an operating status signal from the first RAS process.

An illustrative approach accelerates live browse operations for block-level backup copies in a data storage management system. A cache storage area is maintained for locally storing and serving key data blocks, thus relying less on retrieving data on demand from backup copies. Live browse operations are used for populating the cache storage area for speedier retrieval during subsequent live browsing and/or file indexing of the same backup copy, and vice versa. The key data blocks cached while file indexing and/or live browsing an earlier backup copy help to pre-fetch corresponding data blocks of later backup copies, thus producing a beneficial learning cycle. The approach is especially beneficial for cloud and tape backup media, and is available for a variety of data sources and backup copies, including block-level backup copies of virtual machines (VMs) and block-level backup copies of file systems, including UNIX-based and Windows-based operating systems and corresponding file systems.