Abstract: A method of implementing software architecture for common use of a Wayland protocol in a graphics module, including an application layer, an application programming interface (API) layer, a GDBus layer, a layout service layer, a Wayland protocol layer, a Weston layer, and a kernel layer, is provided. The method includes integrating the GDBus layer, relaying communication between the API layer and the layout service layer, into the Wayland protocol layer relaying communication between the layout service layer and the Weston layer and changing the layout service layer, providing a service determining and managing an application which is to be displayed on a screen, to a WindowManagerService module performing a function based on a policy of Window.

Abstract: This disclosure is directed to integrating unaffiliated applications, or the processes and/or subsystems (e.g., application interfaces) of unaffiliated applications, with client applications to enable the client applications to provide new capabilities not otherwise available through the client application. The disclosed approach allows users to access new functionality within the operating environment of the client application, without accessing unaffiliated applications and undergoing separate authentication and data exchange with each unaffiliated application. Functionality of an unaffiliated application can be integrated by, for example, incorporating such processes and subsystems as interactive user interfaces, widgets, applets, plugins, etc., of unaffiliated applications.

Abstract: A blockchain-based interaction method and system for an edge computing service: using, as a bearing entity of an MECaaS, a device that has an environment for an operating system and that is of a user; registering a computing power device of the user as an edge node by using the MECaaS; uploading or updating registration information of the edge node to a blockchain layer; issuing, by a requesting device as a data producer, a computing task to the MECaaS; invoking, by the MECaaS, the smart contract deployed on the blockchain layer; standardizing a data format of the computing task; matching a target edge node for the requesting device; establishing an M2M communication between the requesting device and the target edge node, so that the requesting device can transmit raw data to the target edge node, and the target edge node can feed back a computing result to the requesting device.

Abstract: Secure and efficient access to host memory for guests is disclosed. For example, a system includes (i) a processor, (ii) a host memory, (iii) a hypervisor including a filesystem daemon, (iv) a guest including a storage controller, and (v) a first filesystem queue. The storage controller is configured to receive a file request, translate the file request, and add the translated file request to a filesystem queue. The filesystem daemon is configured to retrieve the translated file request from the filesystem queue and provide access to a file in the host memory identified in the file request to the guest.

Abstract: In response to receiving a reservation request at a provider network, metadata indicating that a group of network addresses of a subnet is reserved for operations of a particular category is stored. A first request for an operation, requiring assignment of an address of the reserved group is rejected if the operation does not belong to the particular category, even if the address is not in use. In response to a second request for an operation which does belong to the particular category, an address of the reserved group is assigned.

Abstract: A plurality of datasets may be received. Multiple instances of a machine learning algorithm may be run to create corresponding multiple machine learning models trained for a specific task in a given domain. Each of the multiple instances may use a different subset of the plurality of datasets in training the corresponding machine learning model. The multiple machine learning models may be run with input data. The multiple machine learning models produce corresponding multiple outcomes. A candidate machine learning model may be determined based on comparing each of the multiple outcomes with ground-truth output. A value associated with the different subset of the plurality of datasets may be determined based on comparing of each of the multiple outcomes with ground-truth output. A smart contract may be created which may include the value and the different subset of the plurality of datasets. The smart contract may be recorded in a blockchain.

Abstract: A computing device configured to manage one or more computing devices of an enterprise is disclosed. The computing device includes a transceiver, a memory, and a processor. The memory may include instructions stored thereon, that when executed by the processor, cause the processor to provide a user interface comprising one or more data objects, receive a command via the user interface, validate the command, prepare a script based on the command, the script comprising computer-readable instructions configured to be executed by one or more remote servers, schedule the script to be executed by the one or more remote servers, and receive a result from the one or more remote servers. The script is configured to implement the command on the one or more remote servers in order to facilitate the management of the processing system of the enterprise.

Abstract: A sharing extension point receives a request from a host application for sharing content, the sharing extension point being one of the extension points of an extension framework of an operating system, each corresponding to a common interface to extend a predefined functionality of one application to another application. In response, a sharing extension capable of providing content sharing services is launched. Data representing a share sheet created by the sharing extension is injected into a content viewer within the host application as a share sheet clone, where the share sheet clone has a reduced resolution image of the content displayed therein. In response to receiving a commit command for sharing, the actual content is retrieved from the host application and the retrieved content is transmitted to the sharing extension to enable the sharing extension to post the share sheet on a sharing platform.

Abstract: Direct access to host memory for guests is disclosed. For example, a system includes a processor, a host memory, a filesystem daemon, a guest including a storage controller, and a filesystem queue accessible to the filesystem daemon and the storage controller. The storage controller receives a file retrieval request associated with a file stored in the host memory and forwards the file retrieval request to the filesystem daemon by adding the file retrieval request to the filesystem queue. The filesystem daemon retrieves the file retrieval request from the filesystem queue, determines a host memory address (HMA) associated with the file, and causes the HMA to be mapped to a guest memory address (GMA). The guest accesses the file in the host memory with the GMA, and later terminates access to the file, where the filesystem daemon is then configured cause the GMA to be unmapped.

Abstract: A system, computer program product, and method are presented for executing a validation test on at least a portion of a refactored application. The refactored application is resident within a partitioned computing architecture including a plurality of partitions and communication between the partitions uses one or more boundary methods. The refactored application is at least partially similar to a transformed monolithic application. The method includes automatically generating one or more test sequences for exercising one or more functional behaviors for each boundary method of the one or more boundary methods.

Abstract: This disclosure involves using data science notebooks to customize and apply a visitor stitching framework. An event management system provides an initial visitor stitching framework via a data science notebook, wherein the data science notebook is an interactive environment for managing algorithms and data. The event management system receives, from a resource provider system via the data science notebook, a modification to the initial visitor stitching framework. The event management system applies the modification to the initial visitor stitching framework to generate a custom visitor stitching framework. The event management system processes a dataset associated with the resource provider system and a user using the custom visitor stitching framework to generate a stitched dataset associated with the user.

Abstract: Improved intelligent personal assistant (IPA) software agents are disclosed that are configured to interact with various people, service providers, files, and/or smart devices. More particularly, this disclosure relates to an improved Natural Language Processing (NLP) Intent Determination Service (IDS) that is able to determine the likely best action to take in response to generic user commands and queries. The disclosed NLP IDS automatically selects valid (or potentially valid) API paths (e.g., sequence of API calls) to produce desired actions. Associated system actions and known API sequencing rules may then be used to process the incoming user command or query. A feedback loop is also disclosed to identify newly available APIs and success criteria for selected API paths. Discovery of API paths may be performed using predefined information, monitored information, programmatically determined interfaces, and programmatically tested interfaces.

Abstract: The described techniques are directed towards a host virtual machine configured to host a container. In some examples, a device can monitor communication between a container executing on a host virtual machine and the host virtual machine. The host virtual machine can include a first operating system. The container can include a first computer-executable instruction. The device can detect that the first computer-executable instruction is configured to run on a second operating system based on monitoring the communication between the container executing on the host virtual machine and the host virtual machine. The device can further detect a second computer-executable instruction that is configured to run on the first operating system, the second computer-executable instruction can be accessible to the host virtual machine. The device can further include mounting the second computer-executable instruction from the host virtual machine into the container.

Abstract: A computer-implemented method is provided for managing Garbage Collection (GC) safepoints. The method includes determining whether a GC safepoint for a target native method can be removed by checking a heap occupancy ratio prior to executing the target native method. The method further includes removing the GC safepoint responsive to the heap occupancy ratio prior to executing the target native method being less than a threshold occupancy amount percentage. The method also includes determining whether the GC safepoint for the target native method can be removed by checking a most recent GC pause time. The method additionally includes removing the GC safepoint responsive to the most recent GC pause time being shorter by a threshold pause time amount percentage than an execution time of the target native method.

Abstract: Technology for implementing a system for customizing software recipes or applets is described. In some implementations, a method, implemented using a computing device, may include receiving request to execute a software recipe from a first software application operated by a first user and determining whether the software recipe includes a connection placeholder for a recipe connection to a second software application. The method may then determine whether a first connection to the second software application exists for the first user, retrieve first connection details of the first connection to the second software application from a recipe connection data store, and execute the software recipe using the first connection details in place of the connection placeholder for the recipe connection to the second software application. In some implementations, interaction with and execution of the software recipes is performed using bots in a chat environment.

Abstract: A lock may be acquired on a virtual memory of a target process, where the virtual memory of the target process may include import dependency data of a marker library. An injection driver may be executed within the context of the target process when the marker library is loaded by the target process, where executing the injection driver within the context of the target process may enable the injection driver to modify virtual memory tables within the target process. The import dependency data of the marker library may be modified by the injection driver to include an injection library as a dependency of the marker library. After the modified import dependency data is used to load the injection library into the target process, the modified import dependency data may be reverted to an original state.

Abstract: A method includes identifying a plurality of queries from an application, the plurality of queries associated with an application programming interface (API) and determining an API schema coverage map associated with the plurality of queries. The method further includes generating transformation metadata in view of the API schema coverage map and generating a serverless architecture configuration associated with the application in view of the transformation metadata.

Abstract: Various systems, methods, and computer program products are provided for dynamically generating an API. The method includes extracting metadata from a command recording of a system API. The command recording of the system includes a starting breakpoint and an ending breakpoint for one or more repetitive processes. The method also includes determining one or more API parameters for an API to be generated based on the extracted metadata. The method further includes dynamically generating the API based on the API parameters. The method still further includes causing an authentication of the credentials relating to the API via robotic process automation.

Abstract: Peripherals can be managed in a containerized environment. A peripheral can be virtualized in multiple containers to allow applications hosted in the containers to access the peripheral. Local applications may also be allowed to access the peripheral. Such access may be enabled by virtualizing handles to the peripheral. The applications' access to the peripheral may be managed in accordance with policy to thereby ensure that one application's access does not negatively impact another application's access.

Abstract: Various methods, apparatuses/systems, and media for generating a data model are disclosed. A processor receives data from a plurality of data sources; displays, onto a graphical user interface (GUI), a plurality of selectable icons for receiving user input in selecting a set of attributes data related to generating a desired data model; receives user input of the selected set of attributes data; automatically creates an executable custom code based on the received data from the plurality of data sources and the selected set of attributes data; executes the custom code; calls, in response to executing, a backend platform for processing the received data from the plurality of data sources and the selected set of attributes data; and automatically generates, in response to calling, the desired data model based on the processed received data and the selected set of attributes data.