Abstract: An information creating device includes processing circuitry configured to identify, for a plurality of applications, one or more files that are accessed due to activation or operation of an application of the plurality of applications during the activation or the operation of the application, identify, for the plurality of applications, one or more other applications that transmit and receive data to and from the application, and store, in a memory, associated file information that indicates, for the plurality of applications, the one or more files accessed during the activation or the operation of the application as associated files of the application, and associated application information that indicates, for the plurality of applications, the one or more other applications that transmit and receive data to and from the application as associated application of the application.

Abstract: A resource management method for a node in Kubernetes, a computer device, and a readable storage medium. The method includes following steps: initializing a component to start a main process; defining, by means of the main process, subprocesses for managing resources respectively; in response to a detection from the main process that a plurality of actual resources is present in a node among the resources, starting a subprocess corresponding to each of the actual resources, and starting gRPC service for each started subprocess; and registering the resources corresponding to a subprocesses where the gRPC service is successfully started to Kubernetes by using the main process enabling the subprocesses where the gRPC service is successfully started to manage the actual resources.

Abstract: Systems and methods provide reception of a call to a first function, determination of a first configuration file associated with the first function, the first configuration file indicating a primary function, a secondary function and a relationship between a first property of the primary function and a second property of the secondary function, calling of the primary function and reception of a corresponding first result set, calling of the secondary function, the call to the secondary function including a filter on the second property based on values of the first result set associated with the first property, reception of a second result set corresponding to the call to the secondary function, generation of a composed result set based on the first result set, the second result set, and the relationship, and return of the composed result set in response to the call to the first function.

Abstract: A data object from a data source is received by a distributed process in a data stream. The distributed process has a sequence of categories, each category containing one or more tasks that operate on the data object. The data object includes files that can be processed by the tasks. If the task is able to operate on the data object, then the data object is passed to the task. If the task is unable to operate on the data object, then the files in the data object are passed to a file staging area of the distributed process and stored in memory. The files in the file staging area are passed, in sequence, from the file staging area to the task that was unable to operate on the data object. The data object is outputted to a next category or data sink after being operated on by the task.

Abstract: Methods, apparatus, and processor-readable storage media for implementing extensible upgrade and modification as a service are provided herein. An example computer-implemented method includes processing one or more modifiers, wherein each modifier includes an independent processing unit having a given canonical structure and is configured to execute one or more automated actions related to at least one of application modification and application migration; obtaining data pertaining to multiple applications across multiple computing environments; determining, based at least in part on processing at least a portion of the obtained data, at least one of the one or more modifiers applicable for use in executing at least one of the one or more automated actions in connection with at least a portion of the multiple applications; and executing the at least one of the one or more automated actions using the at least one determined modifier.

Abstract: Training and/or utilization of machine learning model(s) (e.g., neural network model(s)) in automatically generating test case(s) for source code. Techniques disclosed herein can be utilized in generating test case(s) for unit test testing (or other white-box testing) and/or for functional testing (or other black-box testing). In some implementations, the machine learning model(s) can be trained on source code, unit test pairs. In some additional or alternative implementations, reinforcement learning techniques can be utilized to check for correctness of base source code, target source code pairs (e.g., by matching program execution of different branches).

Abstract: A content management system (CMS) provides integration between APPS configured for use with an editor application of the CMS, the CMS including at least one server computer configured to perform the following operations: installing a first APP and a second APP in a content project of the CMS, wherein installing the first and second APPs enables functionalities of the first and second APPs to be accessed for the content project through the editor application, wherein the editor application provides an interface for editing the content project; receiving from the first APP a request to invoke an action by the second APP; responsive to receiving the request, then validating contents of the request; responsive to successful validation of the request, then sending an acknowledgement to the first APP, and generating a call to the second APP to invoke the action by the second APP.

Abstract: An apparatus includes: a storing device including regions allocated one to each of virtual machines; a processing device, connected to the storing device, that executes the virtual machines; a relay device, connected to the processing device, that executes a relaying process, serving as a virtual switch that connects the virtual machines to one another; and a transfer processor that transfers data between the regions through the processing device. The relay device obtains, from a first region, a first fragment data of target data being stored in the first region and indicating a destination of the target data, and outputs, when the destination is a second region, an instruction instructing the transfer processor to transfer the target data from the first region to the second region. The transfer processor transfers the target data from the first region to the second region through the processing device in response to the instruction.

Abstract: Extensible change control management for development and deployment of applications is described. A change control manager may register plugin components, including requester, approver and performer components, to process changes to a resource of a resource type, where registering is performed responsive to request(s) received via programmatic interface(s). Upon receiving a change request from the requester component, the change control manager may send the change request to the approver component to approve the change request and, responsive to notification of approval from the approver component, the change control manager may then send the change request to the performer component to implement the requested change.

Abstract: A method of guaranteeing game quality by using an artificial intelligence (AI) agent is provided. The method includes extracting an item list (hereinafter referred to as an inspection item list) for inspecting quality of a target game, extracting and storing log data corresponding to a test performance result for each item of the inspection item list, performing imitation learning of an AI agent model on the basis of the stored log data, performing an automatic test for inspecting quality of the target game by using the AI agent model on which the imitation learning is completed, and automatically recording a bug and an error detected by the AI agent model.

Abstract: A management apparatus (10) includes: a storage (103) that stores information indicating a correspondence between at least one virtual network function (VNF) operating on a server and a programmable logic circuit (FPGA) capable of operating at least part of a virtual network function; and a controller (106) that causes first and second servers to perform migration of a virtual network function operating on a programmable logic circuit of the first server to the second server, on the basis of the correspondence information.

Abstract: A data processing system includes a transaction bus, a console application in communication with the transaction bus, and a view predictor subsystem in communication with the transaction bus. The transaction bus receives, from a user application executing on a client device, a call for visual information to be provided to the user application. The view predictor subsystem determines a likelihood that the visual information will be viewable within a viewport of the user application, and a plurality of respective values for a plurality of sources of the visual information are computed based on the likelihood and a respective priority for each source. The console application provides to the transaction bus the set of potential sources of the visual information, and the transaction bus selects, based on the computed values, one of the potential sources of the visual information to be the result, which is provided to the user application.

Abstract: A method for optimizing a verification regression includes obtaining data, by a processor, of previously executed runs of at least one verification regression session; extracting from the data, by the processor, values of one or a plurality of control knobs and values of one or a plurality verification metrics that were recorded during the execution for each of the previously executed runs of said at least one verification regression; finding, by the processor, correlation between said one or a plurality of the control knobs and each said one or a plurality of verification metrics, and generating a set of one or a plurality of control conditions based on the found correlation; and applying, by the processor, the generated set of one or a plurality of control conditions on the verification environment or on the DUT, or on both, to obtain a new verification regression session.

Abstract: A computer system configured to enable communication between two or more virtual platforms is disclosed. The computer system comprises a physical processor configured to run the two or more virtual platforms. The computer system further comprises a memory. The memory comprises one or more separate memory portions allocated to each of the two or more virtual platforms, wherein within at least one memory portion allocated to one of the virtual platform a predefined range of addresses is configured as a shared device memory, the shared device memory being accessible by all the virtual platforms. Firmware running on a first virtual platform is configured to transfer a data packet from the first virtual platform to one or more further virtual platforms via the shared device memory.

Abstract: The disclosed technology is generally directed to blockchain technology. In one example of the technology, a first transaction node of a hosted permissioned blockchain network is provisioned for a first consortium member of the hosted permissioned blockchain network. A shared pool of validator nodes of the hosted permissioned blockchain network is provisioned. The shared pool of validator nodes includes at least one validator node. The shared pool of validator nodes is shared among the plurality of consortium members. The validator nodes of the shared pool of validator nodes are configured for blockchain transaction validation based on a BFT consensus protocol. A second transaction node of the hosted permissioned blockchain network is provisioned for a second consortium member of the hosted permissioned blockchain network. Each transaction node of the hosted permissioned blockchain network is separate from each validator node of the hosted permissioned blockchain network.

Abstract: In some aspects, a computing device of the disconnected network may generate an application programming interface (API) configured to present a set of filter types. A selection of one or more filters types from the set of filter types may be received via an API. A sequential order for the selected filter types may be received via an API. A data pipeline with the selection of filters in the sequential order may be generated. A message received at a one-way transfer device may be analyzed by passing the message through the selected filters in the sequential order. A log of events occurring in the data pipeline may be received via a logging network. The log of events may be presented via the application programing interface. The data pipeline may be terminated upon receiving a termination command via the application programming interface.

Abstract: Systems and methods for coordinating components can include: determining, by a first application executing on a client device, a need to perform a sharable functional task; identifying a first software component installed on the client device and capable of performing a first variation of the sharable functional task; identifying a second software component installed on the client device and capable of performing a second variation of the sharable functional task, wherein the second variation of the sharable functional task is functionally overlapping with and not identical to the first variation; identifying a set of characteristics of both the first software component and the second software component; selecting the second software component for performing the sharable functional task based on the set of characteristics, where the set of characteristics includes at least a version number; and delegating performance of the sharable functional task to the second software component.

Abstract: Embodiments of apparatus, systems, and methods are described for creating and managing an abstract, API-based infrastructure base model. The API-based model can abstract infrastructure assets, such as infrastructure components or connections between components, into a metadata model using standardized syntax and interfaces, for defining and building an infrastructure. Using a modeling document, connections and components of an infrastructure can be abstracted into an API-based model having semantics that covers them all. Connections and infrastructure components can be made available for selection, arrangement, and grouping to build complex infrastructure models without requiring complex API coding by the user. Other infrastructure models having different API definitions can be by abstracted to standardize the assets for building new APIs. The APIs can be further modified and exported to another or the same implementation project.

Abstract: Systems and methods are disclosed for dynamic application mobilization. In one implementation, an application is modeled as a processing function. The processing function is placed at a first processing node within a processing network. One or more optimization operations are computed with respect to the processing function. The processing function is mobilized from the first processing node to a second processing node within the processing network in accordance with the one or more optimization operations.

Abstract: A method, system, and computer program product to aggregate code change requests for a continuous integration pipeline. The method may include receiving a plurality of code change requests (CCRs) for a software product that are to be processed by a continuous integration (CI) pipeline. The method may also include obtaining all functions of the software product tested by all testcases in a testcase set. The method may also include selecting a plurality of groups of testcases from the testcase set, each group of the plurality of groups of testcases corresponding to a CCR from the plurality of CCRs. The method may also include identifying at least two groups of testcases from the plurality of groups of testcases without overlapping code. The method may also include aggregating each CCR that corresponds to the at least two groups of testcases into a single CCR group.