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: 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: 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: 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: 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 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: 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.

Abstract: Disclosed herein is a computing device that includes a memory and a processor, which is coupled to the memory. The memory stores processor executable instructions for a robotic process engine. In operation, the robotic process engine generates a robot tray comprising a canvas and dynamically configures the canvas based on inputs. The dynamic configuring includes adding a widget onto the canvas.

Abstract: A batching module that prepares a plurality of blocked expressions for batch evaluation. The plurality of blocked expressions comprises a plurality of expressions in a blocked state. The batching module divides the plurality of blocked expressions into one or more partitions. For each particular partition of the one or more partitions, a single batch processing call is dispatched to an application server to perform a batch evaluation.

Abstract: A method for managing general-purpose graphical processing units (GPGPUs) in a data center system is described. The method includes receiving, by a proxy agent, a GPGPU request from an application; selecting a GPGPU from a set of GPGPUs for processing a workload of the application based on one or more of available resources of the set of GPGPUs and requirements of the workload as indicated by the GPGPU request; establishing a session between an application agent located on a compute node on which the application is located and the proxy agent, and a second session between the GPGPU and the proxy agent in response to selecting the GPGPU to allow the GPGPU to process the workload, including subsequent GPGPU requests associated with the workload; and collecting a performance profile to describe usage of resources of the GPGPU by the workload.

Abstract: The present disclosure is directed to a system of software robots executed on a plurality of network clients for a secure and automated processing of time sensitive data. In one aspect, a method includes receiving a data set for processing, processing the data set being subject to a time limit; splitting the data set into a plurality of data subsets; assigning each of the plurality of data subsets to one a plurality of network clients each of which is configured to execute at least one software bot to process one or more data subsets of the plurality of data subsets assigned thereto; configuring the plurality of network clients to simultaneously process the one or more data subsets assigned thereto such that the data set is processed within the time limit; configuring each of the plurality of network clients to provide an update on processing status of each of the one or more data subsets assigned thereto; and generating a summary report indicative of a summary of the data set processed.

Abstract: Database systems and methods are provided for visual design and customization of processes for web applications. One method involves obtaining, from a process flow builder graphical user interface (GUI) display at a client device, a sequence of configured components within a region of the process flow builder GUI display, automatically generating process flow code corresponding to the sequence of configured components within the region of the process flow builder GUI display, modifying one or more references within the process flow code from a first namespace associated with a first package corresponding to a virtual application supported by an application platform to a generic namespace, resulting in modified process flow code, and storing the modified process flow code to a location within a second package independent of the application platform.

Abstract: In an approach to improve workload orchestration in a multi-cloud environment, embodiments orchestrate and manage a workload in a decentralized multi-cloud environment using one or more smart contracts. Additionally, embodiments measure, by a competency measurement component, competency of cloud services based on one or more predefined cloud benchmarks, a consensus network, and the one or more smart contracts, and generate an orchestration plan that is a best fit for the workload. Furthermore, embodiments validate and update, by the consensus network and the one or more smart contracts, the generated orchestration plan, and executing the generated orchestration plan.

Abstract: Concepts for middleware in a web framework are presented. One example comprises defining a target object type configured to hold results of a middleware function. A first object for an application is received and a process of the middleware function is performed, using the first object, to generate a process result. Based on the process result, a second object of the target object type is generated, after which the second object is provided to the application.

Abstract: Static memory allocation may be performed for weight values across multiple processing units executing a neural network. A neural network may be received for execution across multiple processing units. A partitioning scheme may be applied to divide the neural network into subgraphs. The subgraphs may be assigned to different processing units. The weights for the operations of the subgraph may be statically allocated in dedicated caches for the processing units as part of the instructions to execute the neural network across the processing units.