Technologies for remote firmware updates include a telematics cloud server in communication with multiple telematics devices. The server stores a compressed firmware package and a firmware manifest and firmware components from the firmware package. A telematics device sends a status update to the server and receives an acknowledgment that identifies an available firmware release. The telematics device downloads the firmware manifest, and for each firmware component, determines whether to update the firmware component. The firmware component may be a base install or a differential install. The server may flag the firmware component for a forced install. The telematics device may evaluate a device policy or an advanced rule to determine whether to update the firmware. The telematics device may evaluate a machine learning risk model to determine whether to update the firmware. Other embodiments are described and claimed.

A cloud migration framework may include an enterprise application data store that contains electronic records associated with enterprise applications. Each record may include, for example, an electronic record identifier and enterprise application parameters. A data repository stores a catalogue of cloud computing patterns. A back-end application computer server retrieves information from the enterprise application data store and, based on enterprise application parameters, creates a move group representing a subset of the enterprise applications. For each application in the move group, the computer server identifies whether an appropriate cloud computing pattern exists in the catalogue. If an appropriate cloud computing pattern is identified, it is used to automatically create a reference implementation of the enterprise application in a cloud computing environment. If no appropriate cloud computing pattern is identified, a pattern on-boarding process may be initiated to add a new cloud computing pattern to the catalogue.

According to one method, the method comprises: receiving, from a client via a REST API, input in a first format; converting, using predetermined metadata, the input in the first format into input in a second format; sending the input in the second format to a legacy system for performing an operation using the input in the second format; receiving, from the legacy system, output in the second format, wherein the output is based at least in part on the operation performed using the input in the second format; converting, using the predetermined metadata, the output in the second format into output in the first format; and sending, to the client via the REST API, the output in the first format.

In a function control method, a function trigger event is monitored, the function trigger event having a preset correspondence with function configuration information; when the function trigger event is monitored, the function configuration information corresponding to the function trigger event is retrieved; and a second device is controlled to perform a specified function triggered by the function trigger event based on the function configuration information.

An update management device manages software update of a plurality of ECUs included in an in-vehicle network, the update management device including: an information acquiring unit for acquiring load information indicating a load of each of the plurality of ECUs, performance information indicating a performance of each of the plurality of ECUs, and configuration information indicating the configuration of the in-vehicle network; and an update setting unit for selecting a restoration execution ECU that executes a restoration process of update data from among the plurality of ECUs using the load information, the performance information, and the configuration information acquired by the information acquiring unit.

An ecosystem is configured to facilitate digital exchange of digital assets in a digital asset marketplace. The ecosystem includes one or more of a plurality of participant systems selected from a list of participant systems including asset user systems, asset holder systems, and asset mining systems. The ecosystem operates on a computer-executable asset wrapper that is associated with the digital asset and that is configured in the form of a multi-layered structure. The ecosystem also includes a codec that is associated with the asset wrapper and configured as a computer executable file. The codec is executed responsive to a request for an exchange on the marketplace that is associated with the digital asset. The ecosystem further includes a blockchain device to execute a blockchain smart contract for the asset exchange. The blockchain smart contract is executed against a set of right tokens characterizing a specific cryptocurrency value.

Systems, methods, and computer-readable mediums for distributing machine learning model training to network edge devices, while centrally monitoring training of the models and controlling deployment of the models. A machine learning model architecture can be generated at a machine learning structure controller. The machine learning model architecture can be deployed to network edge devices in a network environment to instantiate and train a machine learning model at the network edge devices. Performance reports indicating performance of the machine learning model at the network edge devices can be received by the machine learning structure controller from the network edge devices. The machine learning structure controller can determine whether to deploy another machine learning model architecture to the network edge devices based on the performance reports and subsequently deploy the another architecture to the network edge devices if it is determined to deploy the architecture based on the performance reports.

Systems and methods for managing a set of electronic assets from a single location are disclosed. The method includes providing a portal with a network security access control. The method includes determining that login credentials input to the access control are associated with a set of electronic assets corresponding to a plurality of third-party computing systems with application programming interface (API) gateways configured to accept API calls directed to changes in functionality of the electronic assets. The method includes presenting, via the portal, a virtual icon to identify a coordinated action with respect to the set of electronic assets and, in response to a selection of the virtual icon, executing a set of API calls that include an asset-specific API call to each third-party computing system in the plurality of third-party computing systems to implement the coordinated action on all electronic assets in the set of electronic assets.

In accordance with embodiments, there are provided mechanisms and methods for creating, exporting, viewing and testing, and importing custom applications in a multitenant database environment. These mechanisms and methods can enable embodiments to provide a vehicle for sharing applications across organizational boundaries. The ability to share applications across organizational boundaries can enable tenants in a multi-tenant database system, for example, to easily and efficiently import and export, and thus share, applications with other tenants in the multi-tenant environment.

Optimum software update transmission parameters are determined and used for transmitting a software update from a host to servers of a computer network. The software update is transmitted while the servers are live and required to meet certain quality of service requirements for tenants of the computer network. Transmission parameters for transmitting the software update are adjusted and updated based on service performance data. Based on iterative adjustments, optimum transmission parameters may be determined. Additionally or alternatively, machine learning is used to generate a model that determines predicted optimum transmission parameters. The predicted optimum transmission parameters may be initially used for transmitting a software update, while the transmission parameters continue to be adjusted throughout transmission.