Abstract: The method includes the following steps: step 1. obtaining NUMA topology information of a host machine, and monitoring virtual machine performance events by using a kernel PMU; step 2. implementing a greedy algorithm, and a scheduling decision is obtained; step 3. scheduling, according to the scheduling decision, a virtual CPU (VCPU) and a memory of a virtual machine; step 4. after the scheduling of the virtual machine is complete, redirecting to step 1 to continue performing performance monitoring of the virtual machine.

Abstract: Provided are techniques for adjusting a dispatch ratio for dispatching tasks from multiple queues. The dispatch ratio is set for each queue of a plurality of queues. A number of Central Processing Unit (CPU) cycles used by tasks from each of the plurality of queues during the interval is tracked. A CPU high percentage is determined that indicates a percentage of CPU cycles used by high priority tasks. In response to determining that the CPU high percentage is below a high threshold, a new dispatch ratio is calculated that indicates an increased number of high priority tasks are to be dispatched, and the new dispatch ratio is based on the CPU high percentage, the high threshold, and a current dispatches high value. The increased number of high priority tasks are dispatched from the high priority queue based on the new dispatch ratio during a new interval.

Abstract: A computational resource management apparatus is for managing a cluster system that executes a plurality of tasks. The computational resource management apparatus includes a condition specification unit that specifies a relationship between computational resources of the cluster system and computation time, a dependency relationship between tasks, and an execution time limit of each task, and a scheduling unit that determines, for each task, an execution sequence and computational resources to be allocated from among the computational resources of the cluster system, based on the relationship between the computational resources and computation time and the dependency relationship that are specified, such that the execution time limit is met.

Abstract: A data storage system (DSS) in a cluster provides virtual-volume data storage to virtual-computing (VC) hosts using NVMe-oF storage interconnect. A DSS creates protocol endpoints (PEs) and corresponding namespace groups, each being a grouping of namespaces corresponding to virtual volumes (vVols) to be bound for access by a respective VC host, and each namespace being mapped to corresponding underlying physical storage. Each namespace group is initially created with a corresponding in-band discoverable dummy namespace. In response to in-band storage discovery commands from the VC hosts, and based on the existence of the dummy namespaces, the DSS responds with responses identifying the namespace groups. Then in response to subsequent vVol creation commands from the VC hosts, the DSS creates new namespaces in respective namespace groups and provides namespace identifiers for the new namespaces to the VC hosts for use in accessing data of the vVols.

Abstract: This disclosure provides a solution for improving performance in a virtual machine. In this method, a platform independent intermediate representation of a code segment in an application is obtained from a first virtual machine which is operating on a first platform. The platform independent intermediate representation is generated through a run-time compilation by the first virtual machine. Native code is generated based on the platform independent intermediate representation, in which at least one piece of the native code corresponds to a second platform which is different from the first platform. The at least one piece of the native code is distributed to a second virtual machine which is operating on the second platform.

Abstract: The detection of idle virtual machines through usage pattern analysis is described. In one example, a computing device can collect utilization metrics from a virtual machine over time. The utilization metrics can be related to one or more processing usage, disk usage, network usage, and memory usage metrics, among others. The utilization metrics can be separated into a set of training metrics and a set of validation metrics, and a number of clusters can be determined based on the set of training metrics. The clusters can be used to organize the set of validation metrics into groups. Depending upon the number or overall percentage of the utilization metrics assigned to individual ones of the plurality of clusters, it is possible to determine whether or not the virtual machine is an idle virtual machine. Once identified, idle virtual machines can be shut down to conserve processing resources and costs.

Abstract: Systems and methods for thread execution transition are disclosed. An example system includes a memory and a processor with first and second registers. An application and a supervisor are configured to execute on the processor, which suspends execution of a first thread executing the supervisor. One execution state of the first thread is stored in the first register. The application stores a request in a first shared memory location. The application executes on a second thread and another execution state of the second thread is stored in the second register. The processor suspends execution of the second thread and resumes execution of the first thread. The supervisor retrieves data for the request from the first shared memory location, and processes the data, including storing a result to a second shared memory location. The processor suspends execution of the first thread and resumes execution of the second thread.

Abstract: The disclosure relates to systems, methods and computer-readable media for using system jobs for performing actions outside the constraints of batch compute jobs submitted to a compute environment such as a cluster or a grid. The method for modifying a compute environment from a system job disclosure associating a system job to a queuable object, triggering the system job based on an event and performing arbitrary actions on resources outside of compute nodes in the compute environment. The queuable objects include objects such as batch compute jobs or job reservations. The events that trigger the system job may be time driven, such as ten minutes prior to completion of the batch compute job, or dependent on other actions associated with other system jobs. The system jobs may be utilized also to perform rolling maintenance on a node by node basis.

Abstract: Embodiments of the present systems and methods may provide techniques to provide simple and accurate estimate of memory requirements for application invocation in a serverless environment. For example, a method may comprise selecting sample invocations of functions as a service from a larger plurality of invocations, submitting for execution the plurality of sample invocations and, for each sample invocation, submitting a specification of a memory size to be used for execution of each sample invocation, determining, whether the specification of the memory size to be used for execution of each sample invocation results in unsuccessful execution of at least some of the sample invocations due to insufficient memory and, if so, adjusting the specification of the memory size for at least some of the sample invocations, and submitting for execution at least those invocations in the larger plurality of invocations that were not included in the plurality of sample invocations.

Abstract: Technologies for providing accelerated functions as a service in a disaggregated architecture include a compute device that is to receive a request for an accelerated task. The task is associated with a kernel usable by an accelerator sled communicatively coupled to the compute device to execute the task. The compute device is further to determine, in response to the request and with a database indicative of kernels and associated accelerator sleds, an accelerator sled that includes an accelerator device configured with the kernel associated with the request. Additionally, the compute device is to assign the task to the determined accelerator sled for execution. Other embodiments are also described and claimed.

Abstract: The present disclosure relates to a method, apparatus and computer program product for managing a virtual machine. According to example implementations of the present disclosure, there is provided a method for managing a virtual machine. In the method, in response to receiving a backup request for the virtual machine, corresponding metadata of a corresponding object of at least one object in the virtual machine is obtained, the corresponding metadata describing multiple attributes of the corresponding object in a file system of the virtual machine. A corresponding abstract describing a basic attribute of multiple attributes of the corresponding object is generated on the basis of the corresponding metadata. An index of a backup version of the virtual machine is created on the basis of the corresponding abstract, the index comprising a corresponding path of the corresponding object in the backup version of the virtual machine.

Abstract: An application processing method includes: displaying a first child application page of a first child application; and acquiring, by using the first child application, a second child application identifier corresponding to a second child application to be jumped to. The first child application is run by a parent application. The method also includes: the parent application running the second child application when a jump is made from the first child application to the second child application; transferring page data corresponding to the second child application identifier to the second child application; and generating, according to the page data, a second child application page over the first child application page, and displaying the second child application page.

Abstract: A method and related apparatus for restarting an application being closed because of insufficient memory are provided. The method includes storing application identifiers of the applications which are closed when the free memory of the system is insufficient into a target application list, then when determining the free memory of the system is greater than a preset threshold, automatically starting a process of at least one application indicating by the target application lists.

Abstract: The aspects of the present disclosure provide a method and an apparatus for implementing hardware resource allocation. For example, the apparatus includes processing circuitry. The processing circuitry obtains a first value that is indicative of an allocable resource quantity of a hardware resource in a computing device. The processing circuitry also receives a second value that is indicative of a requested resource quantity of the hardware resource by a user, and then determines whether the second value is greater than the first value. When the second value is determined to be less than or equal to the first value, the processing circuitry requests the computing device to allocate the hardware resource of the requested resource quantity to the user, and subtracts the second value from the first value to update the allocable resource quantity of the hardware resource in the computing device.

Abstract: Systems and methods for creating and using equipment definitions are provided. An archetypal device used to identify one or more data points associated with the archetypal device. A point definition is generated for each identified data point associated with the archetypal device. Each point definition includes an abstraction of a text string extracted from the corresponding data point that is applicable to multiple different devices of the same type of building equipment. The generated point definitions are used to create an equipment definition for a type of building equipment. The equipment definition can be used to identify data points associated with other devices of the same type of building equipment and to automatically create equipment objects representing such devices.

Abstract: A management apparatus includes a memory; and a processor configured to: store configuration information and performance information for each of a plurality of information processing apparatuses acquired from a host OS executed by each of a plurality of groups to which the plurality of information processing apparatuses belong and each of which provides a given service into the memory for each of the plurality of groups, select, based on the configuration information and the performance information, a movement target virtual machine for each of the plurality of groups, when the movement target virtual machine is moved to the different group, determine whether a performance value of a service corresponding to the movement target virtual machine satisfies a reference value, and when it is determined that the performance value satisfies the reference value, determine to move the movement target virtual machine from the target group to the different group.

Abstract: The disclosure features wireless power transfer systems that include a power transmitting apparatus configured to wirelessly transmit power, a power receiving apparatus connected to an electrical load and configured to receive power from the power transmitting apparatus, and a controller connected to the power transmitting apparatus and configured to receive information about a phase difference between output voltage and current waveforms in a power source of the power transmitting apparatus, and to adjust a frequency of the transmitted power based on the measured phase difference.

Abstract: A computer implemented system and method for generating a platform agnostic digital worker includes identifying a task to be performed by the digital worker. A specification for the digital worker is generated that comprises at least a predefined standard for configuration of input and output parameters and error handling. A digital worker created by an agent based on the specification is received to deploy the digital worker at an orchestration engine. The digital worker is sequenced into a repository of digital workers in a predefined manner of workflow, where the digital worker is configured to execute sequentially to perform a scheduled task.

Abstract: Virtual computer systems (virtual machines) have become increasingly common with the evolution of virtualization technology, cloud computing, etc. However, as a virtual machine and its associated guest operating system seek to execute and/or access a page of memory through synchronous processes execution of the virtual processor associated with the virtual processing is blocked until the page of memory is locked and available. Accordingly, time is wasted on calls waiting for physical page availability thereby reducing utilization of the host machine and virtual machine respectively. To address this an asynchronous virtual machine environment is established allowing the virtual machine or physical machine to handle additional operations whilst waiting for physical page availability.

Abstract: A method and an electronic device are provided in which, in response to a first user input, a stack of partially overlaid visual elements is displayed in response to the first user input. Each visual element corresponds to an application that is running in the electronic device and includes an index item representing the corresponding application. A second user input for selecting a visual element from the stack of partially overlaid visual elements is received through the touchscreen. An execution screen of an application corresponding to the selected visual element is displayed.