Abstract: Provided herein are an electronic apparatus and a controlling method thereof. An electronic apparatus according to the disclosure includes a communicator, a memory storing information on a recipe wherein a plurality of unit functions for provision of a service are combined, and a processor configured to, based on receiving information for a unit function that can be performed at each electronic apparatus from each of a plurality of electronic apparatuses through the communicator, identify a plurality of electronic apparatuses matched to the plurality of unit functions included in the recipe based on the received information, and control the communicator to transmit a signal for performing each matched unit function to each of the plurality of identified electronic apparatuses.

Abstract: The present disclosure provides a method and an apparatus of resource adjustment for a service cluster, an electronic device and a storage medium. The method includes: determining resource adjustment information for the service cluster according to a task quantity of streaming data processing tasks to be processed; determining a core quantity to be adjusted corresponding to central processor units and the second quantity of computing nodes to be adjusted, according to the parallelism degree to be adjusted, the first quantity of the computing nodes that have been created in the service cluster, and a resource utilization rate of central processor units in each computing node that has been created; and executing the resource adjustment operation according to the core quantity to be adjusted and the second quantity, and obtaining a service cluster subject to resource adjusting.

Abstract: A function processing service may receive a request to execute source code. The source code may include instructions to perform a function. The function processing service may determine whether at least one hardware acceleration condition has been satisfied for the function. If at least one hardware acceleration condition has been satisfied, the instructions in the source code may be translated into hardware-specific code corresponding to a hardware circuit. The hardware circuit may be configured based on the hardware-specific code, and the hardware circuit may perform the function. The function processing service may then provide the result obtained from the hardware circuit to the requesting entity.

Abstract: Improved systems and devices for medical imaging distribution are provided. A medical imaging order may be received from a medical facility that includes medical imaging. A configuration may be selected and applied based on a body site and an urgency field associated with the order that defines queueing rules for the medical imaging order. Utilization factors for queues associated with radiologists may also be determined. The configuration and the utilization factors may be used to determine a subset of queues associated with a subset of radiologists. The subset of queues may be prioritized based on certain requirements, such as how many medical imaging reports a particular radiologist is required to review, how many medical imaging reports are required to be allocated to a particular radiologist, and the like. The highest prioritized queue may be selected and the medical imaging order may be transmitted to the radiologist associated with that queue.

Abstract: Methods, apparatus, and articles of manufacture to conditionally activate a big core in a computing system are disclosed. An example apparatus including instructions stored in the apparatus; and processor circuitry to execute the instructions to: in response to a request to operate two or more processing devices as a single processing device, determine whether the two or more processing devices are available and capable of executing instructions according to the request; when the two or more processing devices are available and capable: split the instructions into first sub-instructions and second sub-instructions; provide (a) the first sub-instructions to a first processing device of the two or more processing devices and (b) the second sub-instructions to a second processing device of the two or more processing devices; and generate an output by combining a first output of the first processing device and a second output of the second processing device.

Abstract: A method includes: dequeuing a signal primitive from a signaling command queue in the set of command queues, the signal primitive pointing to a waiting command queue; in response to the signal primitive pointing to the waiting command queue, incrementing a number of pending signal primitives in the signal-wait counter matrix; dequeuing a wait primitive from the waiting command queue, the wait primitive pointing to the signaling command queue; in response to the wait primitive pointing to the signaling command queue, accessing the register to read the number of pending signal primitives; in response to the number of pending signal primitives indicating at least one pending signal primitive: decrementing the number of pending signal primitives; and dequeuing an instruction from the waiting command queue; and dispatching a control signal representing the instruction to a resource.

Abstract: The present application discloses a DIKW resource transfer method and device for purpose-oriented calculation and inference. The method includes: determining a resource to be matched by traversing a first resource system corresponding to a receiver based on an acquired target purpose, and determining a target resource based on the resource to be matched and a second resource system. The embodiments of the present disclosure can reduce the waste of the target resource, lowering transfer loss, and decrease the risk of transfer failure.

Abstract: Disclosed herein are systems and method for restoring a process. An exemplary method may include detecting a crash of an operating system (OS) on a computing device; collecting a memory state of at least one page of physical memory of the OS on the computing device; generating a checkpoint file that includes information related to one or more processes from the collected memory state, wherein the information comprises a state for each of the one or more processes at a time of the crash; for each respective process of the one or more processes, creating, on the computing device or another computing device, a new process corresponding to the respective process; and restoring, based on the checkpoint file, a state of the respective process at the time of the crash such that the new process initiates execution from the restored state.

Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize a monitoring process configured to monitor a pending workload in a work queue database. Subsequently, the computing platform may cause the monitoring process to query the work queue database and create one or more historical records indicative of a workload processing status associated with one or more processing workers. Then, the computing platform may identify one or more new parameter values for one or more processing parameters associated with the one or more processing workers based on the one or more historical records. Thereafter, the computing platform may configure the one or more processing workers based on the one or more new parameter values identified for the one or more processing parameters.

Abstract: Disclosed are various embodiments for optimizing the migration of pages of memory servers in cluster memory systems. To begin, a computing device can mark in a page table of the computing device that a page stored on a first memory host is not present. Then, the computing device can flush a translation lookaside buffer of the computing device. Next, the computing device can copy the page from the first memory host to a second memory host. Moving on, the computing device can update a page mapping table to reflect that the page is stored in the second memory host. Then, the computing device can mark in the page table of the computing device that the page stored in the second memory host is present. Subsequently, the computing device can discard the page stored on the first memory host.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing asynchronous backend processing of complex, time consuming, and/or expensive jobs. A command line interface (CLI) provides a command interface between a user and a backend processing server. The CLI sends a job request to the backend server, which immediately replies to the request with a confirmation message that includes a job identifier. This response is sufficient to allow the CLI to end its wait for the job response. Meanwhile, the backend server carries out the job by parsing the job into component tasks according to a declaration file and assigns those different tasks to different work servers. The backend server functions as a master server, tracking the statuses of the different tasks and assigning out new tasks until the job is complete. An overall job status is provided to the CLI upon request by referencing the job identifier.

Abstract: Systems and methods for implementing robotic process automation (RPA) in the cloud are provided. An instruction for managing an RPA robot is received at an orchestrator in a cloud computing environment from a user in a local computing environment. In response to receiving the instruction, the instruction for managing the RPA robot is effectuated.

Abstract: A processing system divides successive dispatches of work items into portions. The successive dispatches are separated from each other by barriers, each barrier indicating that the work items of the previous dispatch must complete execution before work items of a subsequent dispatch can begin execution. In some embodiments, the processing system interleaves execution of portions of a first dispatch with portions of subsequent dispatches that consume data produced by the first dispatch. The processing system thereby reduces the amount of data written to the local cache by a producer dispatch while preserving data locality for a subsequent consumer (or consumer/producer) dispatch and facilitating processing efficiency.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for provisioning cloud infrastructure resources, the apparatus comprising: resource bundling circuitry to select cloud infrastructure resources to bundle as a virtual private zone; provisioning circuitry to provision the cloud infrastructure resources; and allocation circuitry to allocate the virtual private zone to a first tenant, the first tenant authorized to access the cloud infrastructure resources bundled in the virtual private zone.

Abstract: In one embodiment, a system includes first host machines implementing a public-cloud computing environment, wherein at least one of the first host machines includes a resource manager that provides a public-cloud resource interface through which one or more public-cloud clients interact with one or more virtual machines, and second host machines implementing a private-cloud computing environment, wherein at least one of the second host machines includes one or more private-cloud virtual machines, wherein at least one of the first host machines further includes a private-cloud VM resource provider through which the resource manager interacts with the private-cloud virtual machines, wherein the VM resource provider translates requests to perform virtual machine operations from a public-cloud-resource interface to a private-cloud virtual machine interface, and the private-cloud virtual machines perform the requested virtual machine operations in response to receiving the translated requests from the VM resource

Abstract: A memory management method for a device, and a memory management device and a computing system.

Abstract: The present disclosure relates to a database-based data processing method, device, medium and electronic apparatus, the method including: receiving a query request task to be executed, and determining a plurality of coroutine tasks corresponding to the query request task; in each thread, determining a target coroutine task to be executed according to time information of each coroutine task in the local task queue of the thread; interrupting the target coroutine task and adding the target coroutine task to the global task queue when execution of the target coroutine task is not completed and the target coroutine task has been executed in the thread for a current time slice; according to the global task queue, and the local task queue of the thread, determining a new target coroutine task for the thread, and executing the new target coroutine task in a next time slice.

Abstract: The present disclosure provides various embodiments of information handling systems and related methods to provide workload remediation on client devices running multiple concurrent workloads. More specifically, the present disclosure provides software services and computer-implemented methods that utilize workload performance metrics and contextual information to provide workload remediation for each workload/application included within a user's workspace. The disclosed embodiments provide an automated iterative remediation framework, which identifies degradation of workload performance metrics of each workload, takes one or more corrective actions to remediate the performance degradation based on a set of observed states obtained for each workload, measures the efficacy of each corrective action using a weighted scoring function, and improves the workload performance for each workload by selecting the corrective action that optimizes the weighted scoring function for the set of observed states.

Abstract: An Internet of Things system comprises an IoT hub and a local subsystem with a plurality of subsystem devices. These subsystem devices include an edge hub communicatively coupled to the IoT hub and to each other subsystem device; a requestor module configured to perform a task according to a requestor module schedule; and a scheduler module with a persistent time loop. The scheduler module receives a scheduler request from the requestor module via the edge hub, and based on this scheduler request generates a subsystem schedule that includes the requestor module schedule. The scheduler module transmits at least a part of this subsystem schedule to a persistence layer outside of the local IoT subsystem, via the IoT hub. The scheduler module flags scheduled event occurrences via the time loop and the subsystem schedule, and transmits task-specific triggered messages to the requestor module in response to these event occurrences.

Abstract: Systems, apparatuses, and methods for abstracting tasks in virtual memory identifier (VMID) containers are disclosed. A processor coupled to a memory executes a plurality of concurrent tasks including a first task. Responsive to detecting one or more instructions of the first task which correspond to a first operation, the processor retrieves a first identifier (ID) which is used to uniquely identify the first task, wherein the first ID is transparent to the first task. Then, the processor maps the first ID to a second ID and/or a third ID. The processor completes the first operation by using the second ID and/or the third ID to identify the first task to at least a first data structure. In one implementation, the first operation is a memory access operation and the first data structure is a set of page tables. Also, in one implementation, the second ID identifies a first application of the first task and the third ID identifies a first operating system (OS) of the first task.