Examples may include intercepting packets outputted from a primary virtual machine (PVM) hosted by a first server and converting one or more fields of protocol headers for each intercepted packet such that output-packet-similarity may be increased between the PVM outputted packets and packets outputted by a secondary virtual machine (SVM) hosted by a second server.

A method for processing data for a driving function of a vehicle is described, a predefined quantity of computation units being provided; the computation units supplying data, in particular redundant data, to a decision unit; the decision unit deciding, based on a comparison of the data delivered by the computation units, whether the data are correct; a synchronization unit being provided; the synchronization unit synchronizing the computation units in such a way that the computation units deliver the data to the decision unit in a specified time period; and the synchronization unit informing the decision unit as to when the data are transmitted by the computation units, so that the decision unit can specify which data of the computation units are used for a check of the data.

A method for performing a technical process in which application programs are executed redundantly in a plurality N of computing instances and, on the basis of an MooN system, wherein M is at least two and N is at least three, a comparison of the plurality N of results of the redundant execution of the application programs is performed in a voting. When a minority of the results is different from a majority of the results with identical content, the minority is excluded during the performance of the technical process, is repaired with a state copy of one of the intact computing instances and reintegrated into the process. There is also described a computer program product and a provisioning apparatus.

A method for synchronously running an application in a high availability environment including a plurality of calculating modules interconnected by a very high-speed broad band network, includes: configuring the modules into partitions including a primary and a secondary partition and a monitoring partition; running the application on each running partition, inputs-outputs processed by the primary partition transmitted to the secondary running partition via the monitoring partition; synchronizing the runnings via exploiting microprocessor context changes; transmitting a catastrophic error signal to the monitoring partition; continuing the running by switching to a degraded mode, the running continuing on a single partition.

A device, comprising: a main module; a plurality of secondary modules; and a data bus configured to enable data transmission between the main module and the plurality of secondary modules over a data line of the data bus; wherein each of the plurality of secondary modules is configured with a unique secondary address used by the main module to communicate with the respective secondary module over the data line, wherein the main module is operable to configure a first two or more of the plurality of secondary modules with a first common secondary address for simultaneous data transmission from the main module to the first two or more of the plurality of secondary modules over the data line.

Computer hardware and/or software that performs the following operations: (i) identifying rules for relating events in an event monitoring system; (ii) determining an event window having a set of related events within a particular time window, based, at least in part, on the rules; (iii) classifying the event window as actionable by applying a machine learning based classification model to information pertaining to the event window, the information originating from a plurality of data sources; and (iv) creating an event ticket for the event window in the event monitoring system.