An information processing system includes: an execution unit that performs a process by using an engine; an acquisition unit that obtains a processing information for performing the process; an extraction unit that extracts an identification information for identifying the engine suitable to perform the process, from the processing information; and a switching unit that switches the engine used by the execution unit on the basis of the identification information. According to such an information processing system, it is possible to switch the engine and to appropriately perform the process.

A method for configuring an asset monitoring system is provided. The method can include receiving a configuration including a configuration property of a measurement determined by an asset monitoring system configured to monitor an asset. The method can also include generating a graphical user interface including an identifier of the measurement and one or more configuration properties corresponding to the measurement. The method can also include validating the received configuration and receiving a selection of a measurement within the first window of the GUI. The method can further include updating the GUI to include a validation error corresponding to the selected measurement within a second window. The method can also include correcting the validation error and updating the GUI to include a third window listing at least one correction corresponding to the selected validation error. Related systems and non-transitory medium related to the method are also provided.

A pipeline can be constructed for implementing a software-stack resolution process. For example, a system can receive a request from a client device for a recommended software-stack for a target software item. The system can also receive pipeline configuration data specifying configurable pipeline units to be included in the pipeline. The pipeline can include a search process for identifying and analyzing a group of software-stack candidates associated with the target software item. The system can construct the pipeline using the configurable pipeline units based on the pipeline configuration data. One or more of the configurable pipeline units can be arranged in the pipeline to guide the search process by adjusting one or more parameters of the search process. The system can then execute the pipeline and transmit a response to the client device indicating a recommended software-stack for the target software item.

The disclosure is directed to methods and systems for provisioning mobile electric vehicles with various operational settings data transmitted over the air. A vehicle or its components may operate according to operational settings corresponding to operational settings data included in the vehicle components. A server that is remote to the vehicle may comprise operational settings data and may transmit operational settings data to the vehicle. The server may transmit operational settings data automatically, such as on a periodic basis, in response to a request, such as from a user or from a vehicle component or anytime new or updated operational settings data are available for the vehicle or its components.

A node that includes data processing unit (DPU) and a processor, where the processor is configured to perform a method for utilizing a data processing unit (DPU), that includes identifying, by the DPU, a processing entity operatively connected to the DPU, receiving processing entity properties from the processing entity, storing the processing entity properties in a processing entity catalog, generating a virtual combined memory space in the processing entity catalog, and providing access to the processing entity catalog to a BIOS.

The present disclosure provides a parallel decision system and method for distributed data processing. The system includes: an initial logical node generation assembly, a logical node traversal assembly, a predetermined configuration cost computation assembly, and a parallel decision assembly. The initial logical node generation assembly is configured to receive task configuration data input by a user to generate an initial logical node topology for the distributed data processing system. The logical node traversal assembly is configured to traverse the initial logical node topology to obtain a predetermined configuration in the initial logical node topology. The predetermined configuration cost computation assembly is configured to compute a transmission cost of each predetermined configuration and a cost sum. The predetermined configuration transformation assembly is configured to, based on the result of the predetermined configuration, reduce an initial logical node, and a connection edge, a combined initial logical node.

Examples described herein relate to a network interface device that includes circuitry and a memory. In some examples, the circuitry is to perform image construction operations, wherein the image construction operations comprise access to a base image of an application from the memory in the network interface device. In some examples, the circuitry is to provide a host server access to a constructed image bundle of the application.

Meta data is provided flexibly according to an application A related data extraction apparatus for extracting related data which is given to data collected from a target system and is related to the data includes: a configuration data accumulation unit that manages configuration information of the target system; a configuration data input unit that accepts input of registration or update of the configuration information; an application linkage unit that accepts a request for the related data given to the data by an application for analyzing the data; and a related data extraction unit that extracts the related data from the configuration information on the basis of the request.

A computing node is disclosed. The computing node comprises processing circuitry configured to cause the computing node to receive a message (102) comprising configuration information for a resource of a data object that is hosted at the computing node and is associated with a computational operation, which computational operation is executable by the computing node. The processing circuitry is further configured to cause the computing node to configure (104) the resource of the data object on the computing node in accordance with the received configuration information, and to execute (106) the computational operation in accordance with the configured resource. Also disclosed are a corresponding server node and methods of operating a computing node and a server node. The computing node may comprise a Lightweight Machine to Machine (LwM2M) client and the server node may comprise an LwM2M server.

Embodiments are directed towards a configurable accelerator framework device that includes a stream switch and a plurality of convolution accelerators. The stream switch has a plurality of input ports and a plurality of output ports. Each of the input ports is configurable at run time to unidirectionally pass data to any one or more of the output ports via a stream link. Each one of the plurality of convolution accelerators is configurable at run time to unidirectionally receive input data via at least two of the plurality of stream switch output ports, and each one of the plurality of convolution accelerators is further configurable at run time to unidirectionally communicate output data via an input port of the stream switch.