Abstract: A data linkage system includes an API platform that provides an API for acquiring data, which is based on data stored in a data storage system for storing data collected by a data collection system and held by an information system, from the data storage system. The API platform includes servers that execute processing to acquire the data from the data storage system in response to a request for use of the API for each classification based on at least one of a predicted processing time level, which indicates duration of a predicted time for the processing to acquire the data in response to the request for the use of the API, and a predicted response data amount level, which indicates a predicted data amount responding to the request.

Abstract: Managing concurrent accesses by a set of tasks to a shared resource of a computer system. Synchronizing the set of tasks for assigning and releasing a resource according to a predefined access period with flexibility of providing an extended access period where an external task is not detected during the predefined access period. Where an extended access period is provided, resynchronizing is performed, and the external task is identified and access is prevented when the external task is determined to be a particular type of task.

Abstract: In a method of operating a multi-core system comprising a plurality of processor cores, a plurality of task stall information respectively corresponding to a plurality of tasks are provided by monitoring a task stall time with respect to each task. The task stall time indicates a time while the each task is suspended within a task active time, and the task active time indicates a time while a corresponding processor core is occupied by the each task. Task scheduling is performed based on the plurality of task stall information, and a fine-grained dynamic voltage and frequency scaling (DVFS) is performed based on the task scheduling. The plurality of tasks may be assigned to the plurality of processor cores based on load unbalancing, and the effects of the fine-grained DVFS may be increased to reduce the power consumption of the multi-core system.

Abstract: The present invention is a novel RTOS/OS architecture that changes the fundamental way that data is organized and context switching is performed. This novel approach consists of a context switching method in which interrupts are never disabled. This RTOS/OS architecture requires specialized hardware. Concretely, an advanced interrupt controller that supports nesting and tail chaining of prioritized interrupts is needed (e.g. the Nested Vectored Interrupt Controller (NVIC) found on many ARM processors) is required. The novel RTOS/OS architecture does not keep the list of tasks ready to run in sorted order, allowing for O(1) insertion time and utilizes a barrier variable to allow for safe O(n) insertion of tasks into the priority sorted list of blocked tasks without disabling interrupts. The advanced interrupt controller allows for any new interrupts to preempt the software exception handler thereby ensuring no data loss.

Abstract: Disclosed are various embodiments for decreasing the amount of time spent processing interrupts by switching contexts in parallel with processing an interrupt. An interrupt request can be received during execution of a process in a less privileged user mode. Then, the current state of the process can be saved. Next, a switch from the less privileged mode to a more privileged mode can be made. The interrupt request is then processed while in the more privileged mode. Subsequently or in parallel, and possibly prior to completion of the processing the interrupt request, another switch from the more privileged mode to the less privileged mode can be made.

Abstract: A computing resource allocation method comprises beginning a first performance of a first task; determining, using a task manager circuit during the first performance of the first task, that a first operation from among the first plurality of operations requires a resource, wherein the resource is external to the processor; determining, using a spinlock circuit, that the resource is unavailable for use; pausing, under control of the task manager, the first performance of the first task at the processor; beginning, using the processor, a second performance of a second task, the second task comprising a second plurality of operations; receiving, at the task manager, a notice from the spinlock that the resource is currently available for use by the processor; and resuming, under control of the task manager, the first performance of the first task at the processor starting with the first operation from among the first plurality of operations.

Abstract: Harvesting the high performance computing capabilities of vehicle processors while the vehicles are parked and/or charging may provide use to otherwise unused resources as well as offer a way to discount parking and/or charging costs for the vehicle owner/driver. To harvest the computing capabilities, a dispatcher is utilized that receives incoming complex processing requests and parses the requests into tasks. The dispatcher dispatches the tasks to vehicle processors that are within, for example, a parking garage to which the dispatcher has access. The dispatcher may prioritize requests and/or prioritize the vehicle processors to distribute the tasks to optimize the power consumption, time, and processing capabilities used. When the vehicle processors complete the tasks and return results to the dispatcher, the dispatcher finalizes the job results and provides the results to the requestor. The dispatcher may discount the parking and/or charging costs for the vehicles that performed the computational tasks.

Abstract: Aspects of the disclosure relate to cloud service automation of common image management. An image update orchestrator may receive a request to upgrade a virtual machine image. The image update orchestrator may spin up an instance of a virtual machine and provision the instance of the virtual machine with a virtual machine image and cause to install a plurality of software updates to the instance of the virtual machine. The image update orchestrator may take a snapshot of the instance of the virtual machine and generate a sealed master image. Finally, the image update orchestrator may cause to deploy, to one or more policy managed devices, the sealed master image.

Abstract: It is disclosed a resource sharing manager, RSM, operative to provide efficient utilization of central processing units, CPUs, within virtual servers, each virtual server having an operating system, OS. The RSM dynamically obtains (902) information about ownership and sharable status of said CPUs, and dynamically determines (904) which CPUs are sharable to which virtual servers. The RSM obtains (906) information about that one or more sharable CPUs are available; and obtains (908) information about that one or more virtual servers require more processing resources. The RSM also assigns (910) a first CPU of said sharable CPUs when available, to a first virtual server of said virtual servers. Information about ownership and sharable status of the first CPU, is hence provided to the OS of the first virtual server. Overhead is reduced by circumventing a hypervisor when sharing CPUs in virtual servers. An increase in efficiency of task execution is provided.

Abstract: An image of a virtualization software and firmware in a plurality of hosts are upgraded by performing the steps of: validating a desired image of the virtualization software by extracting dependencies and conflicts defined in metadata of all payloads of the desired image of the virtualization software, and confirming there are no violations of the extracted dependencies and conflicts; performing a pre-check of the desired image of the virtualization software against a current image of the virtualization software and a pre-check of the desired version of the firmware against a current version of the firmware; and upon determining from results of the pre-check that the virtualization software can be upgraded to the desired image and the firmware can be upgraded to the desired version, upgrading the current image of the virtualization software to the desired image and upgrading the current version of the firmware to the desired version.

Abstract: A multi-layer serverless sizing stack may determine a compute sizing correction for a serverless function. The serverless sizing stack may analyze historical data to determine a base compute allocation and compute buffer range. The serverless sizing stack may traverse the compute buffer range in an iterative analysis to determine a compute size for the serverless function to support efficient computational-operation when the serverless function is instantiated.

Abstract: Described is a system where memory can be allocated for use by an adapter pre-boot and preserved for use post-boot. A BIOS can allocate for pre-boot hardware operations (e.g., graphics drivers, framebuffers, etc.) and mark this allocated memory as preserved. An indication of the allocated memory can be provided for an OS, such that post-boot, the OS can reclaim and reallocate this memory.

Abstract: A value profiling method, system and computer program product that leverages a guarded storage facility. During code execution, a first instruction is loaded. The first instruction has a first value designating a first region of memory and the first instruction is related to a first section of the code. A determination is made as to whether a guarded mode is enabled at the first region. Responsive to an enabled guarded mode at the first region, a secondary operation is triggered. The secondary operation is in addition to a primary operation of the first instruction. The primary operation is relative to the first region of the memory. The secondary operation causes a profiling of the first section of the code.

Abstract: Systems, methods and article provide the services of heterogeneous resources, for example the services analog processors, e.g., quantum processors, in a robust manner that can include high availability, failover, and load balancing of the heterogeneous resources. A virtual solver is selected based at least in part on a first set of requirements, a first set of analog processors is identified based at least in part on the first set of requirements, and a first handle returned to the first virtual solver. A load balancer may balance loads. Failure over may be implemented.

Abstract: A virtual machine password reset method includes a virtual machine first sending a password obtaining request to a cloud service computing node, the cloud service computing node querying a reset password of the virtual machine in a metadata server based on the password obtaining request, the cloud service computing node returning a password obtaining response based on a result of querying the reset password of the virtual machine in the metadata server, the virtual machine configuring the reset password as a password of the virtual machine, to complete virtual machine password reset.

Abstract: Some embodiments provide a novel method for sharing data between user-space processes and kernel-space processes without copying the data. The method dedicates, by a driver of a network interface controller (NIC), a memory address space for a user-space process. The method allocates a virtual region of the memory address space for zero-copy operations. The method maps the virtual region to a memory address space of the kernel. The method allows access to the virtual region by both the user-space process and a kernel-space process.

Abstract: A first set of requirements of a first set of computing tasks for computing resources in a computing system is acquired respectively. Based on a determination that the requirement of a computing task in the first set of computing tasks for a computing resource satisfies a resource threshold condition, the computing task is divided into a plurality of sub-tasks. The resource threshold condition describes the threshold of a computing resource provided by a computing device in a plurality of computing devices in the computing system. A merging task for merging a plurality of sub-results of the plurality of sub-tasks into a result of the computing task is generated. Based on other computing tasks than the computing task in the set of computing tasks, the plurality of sub-tasks, and the merging task, a second set of computing tasks of the computing job is determined so as to process the computing job.

Abstract: A method apparatus for resource allocation and related products are provided. The method includes the following. An operating system acquires at least one system event associated with a target application in response to detecting that the target application is running in a foreground of the mobile terminal. The operating system identifies an internal running scenario of the target application according to the at least one system event. The operating system acquires a strategy for performance improvement corresponding to the internal running scenario. The operating system adjusts allocation of system resources of the target application according to the strategy for performance improvement.

Abstract: A system and method that enables resource analysis within an intelligent content absorption network with autonomous mobility implementations includes generating a prioritization model, training the prioritization model on a data corpus to generate a prioritization schedule, deploying the prioritization schedule to one or more autonomous vehicles, offloading data at a local content absorption node, processing data at the local content absorption node, and optionally transmitting data results from the processed data.

Abstract: A service partitioned into service components requiring different resources is assigned to at least one cloud of a set of clouds. With interdependent service components, a service-placement engine is configured to coordinate assignments of individual service components. The service-placement engine receives from a client a definition of each service component and indications of components interdependence. Each cloud that satisfies compliance requirements, capability requirements, and resource requirements of a service component is considered eligible to host the service component. Selection of a specific eligible cloud is based on an overall cloud merit which depends on the service-component definition and the location of the client.