Abstract: A system can include a host device that includes a host management component and a virtual machine execution environment. The host device can execute the host management component and determine that the host device, a hypervisor machine in the virtual machine execution environment, or a virtual machine in the virtual machine execution environment violates at least one compliance rule. The host device can also cause the host management component to perform an action in response to determining that the at least one compliance rule is violated.

Abstract: Computer systems and methods for managing resources are described.

Abstract: A method is described for activating tasks in an operating system, characterized by the following features: the tasks are respectively assigned to one of multiple activation schemata; triggering events are assigned to the activation schemata; and if a triggering event occurs, which is assigned to one activation schema among the activation schemata, then the tasks assigned to the activation schema are activated in accordance with the activation schema.

Abstract: A method for preloading an application, a storage medium, and a terminal are provided. The method includes the following. An event of preloading an application is detected to be triggered. A target application to be preloaded is determined. An active window stack for preloading is created according to a predetermined rule, and an application interface of the target application is preloaded according to the active window stack for preloading, where the active window stack for preloading has boundary coordinates locating outside a coordinate range of a display screen.

Abstract: Provided is a resource allocation determination method for a VM/container, volume, and the like created as a new VM/container or volume without exceeding an upper limit of a computer resource of a node in an HCl environment. In order to determine allocation of at least one of a virtual machine, a container, and a volume in a system of the HCl environment, a use state of a computer resource shared by a virtual machine and a storage controller operating on each node is managed, and an allocation destination node of the new virtual machine, container, or volume is determined based on the use state without exceeding an upper limit of a computer resource of the allocation destination node.

Abstract: Provided is a resource allocation determination method for a VM/container, volume, and the like created as a new VM/container or volume without exceeding an upper limit of a computer resource of a node in an HCI environment. In order to determine allocation of at least one of a virtual machine, a container, and a volume in a system of the HCI environment, a use state of a computer resource shared by a virtual machine and a storage controller operating on each node is managed, and an allocation destination node of the new virtual machine, container, or volume is determined based on the use state without exceeding an upper limit of a computer resource of the allocation destination node.

Abstract: Life cycle management techniques are provided for cloud-based application executors with key-based access to other devices. An exemplary method comprises determining that a retention time for a first cloud-based application executor (e.g., a virtual machine or a container) has elapsed, wherein the first cloud-based application executor has key-based access to at least one other device using a first key; in response to the determining, performing the following steps: creating a second cloud-based application executor; and determining a second key for the second cloud-based application executor that is different than the first key, wherein the second cloud-based application executor uses the first key to add the second key to one or more trusted keys of the at least one other device and deactivates the first key from the one or more trusted keys.

Abstract: Example methods and apparatus for fast loading a kernel image file are provided. A multi-core processor includes a first core group and a second core group. The second core group includes a plurality of cores. In one example method, the first core group obtains a plurality of data blocks in a compressed kernel image file from a nonvolatile storage, and checks the currently obtained current data block. The current data block is put into a decompression queue in response to determining that the data block is correct. At least two of the plurality of cores in the second core group obtain the data block from the decompression queue, and after obtaining a plurality of data blocks, decompress the plurality of obtained data blocks into a memory in parallel to obtain the kernel image file.

Abstract: Techniques in advanced deep learning provide improvements in one or more of accuracy, performance, and energy efficiency. An array of processing elements performs flow-based computations on wavelets of data. Each processing element has a compute element and a routing element. Each compute element has memory. Each router enables communication via wavelets with at least nearest neighbors in a 2D mesh. Routing is controlled by respective virtual channel specifiers in each wavelet and routing configuration information in each router. A compute element conditionally selects for task initiation a previously received wavelet specifying a particular one of the virtual channels. The conditional selecting excludes the previously received wavelet for selection until at least block/unblock state maintained for the particular virtual channel is in an unblock state. The compute element executes block/unblock instructions to modify the block/unblock state.

Abstract: A first processor core with an operating system installed and a second processor core controlled by the first processor core and capable of executing parallel operation processing are included. The second processor core, when detecting a page fault, stops new instruction issue and stops as an issued and uncompleted instruction can be restarted, and also sends notification of page fault detection to the first processor core. The first processor core includes a permissibility judgment part that judges whether or not the page fault is permissible in response to reception of the notification, a page table updating part that updates a page table included by the second processor core in accordance with a result of the judgment by the permissibility judgment part, and a directing part that sends a direction corresponding to a result of the judgment by the permissibility judgment part to the second processor core.

Abstract: A method for generating a configuration file for configuring an information technology infrastructure is provided. The method may include receiving, from a first user at a first client, a first indication to publish an infrastructure module comprising a set of configurations to apply to an information technology infrastructure. The infrastructure module may be stored in a module registry in response to the first indication. A second indication selecting the infrastructure module may be received from a second user at a second client. In response to the second indication, the infrastructure module may be sent from the module registry to the second client for insertion into a configuration file being created at the second client. The insertion of the infrastructure module may incorporate, into configuration file, the set of configurations to apply to the information technology infrastructure. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A method for generating a configuration file for configuring an information technology infrastructure is provided. The method may include receiving, from a first user at a first client, a first indication to publish an infrastructure module comprising a set of configurations to apply to an information technology infrastructure. The infrastructure module may be stored in a module registry in response to the first indication. A second indication selecting the infrastructure module may be received from a second user at a second client. In response to the second indication, the infrastructure module may be sent from the module registry to the second client for insertion into a configuration file being created at the second client. The insertion of the infrastructure module may incorporate, into configuration file, the set of configurations to apply to the information technology infrastructure. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A method for modifying a system-defined user interface control on a computing device is described. The method includes wrapping, on the computing device, a system-defined control within a programmer-defined control at run-time and modifying functionality of the system-defined control at run-time. Modifying functionality includes intercepting an initial message for a system-defined control, preventing the system-defined control from rendering and rendering a programmer-defined control in place of the system-defined control. Modifying functionality also includes intercepting a message for the system-defined control, determining whether the message requires modified functionality and providing modified functionality if the message requires modified functionality. Modifying functionality also includes sending the message to the system-defined control if the message does not require modified functionality and providing regular functionality if the message does not require modified functionality.

Abstract: A system for resolving a resource deadlock between processes. The processes are configured to belong to process groups. Resources are allocated on behalf of the process groups to be assigned to respective processes within the process groups. A shared data structure is maintained that includes process records of each of the processes. A determination is made that a respective process is involved in a resource deadlock if the process group to which the process belongs to is involved in the resource deadlock.

Abstract: This disclosure generally relates to enabling a hypervisor of a host machine to provide virtual interrupts to select virtual processors or a set of virtual processors. More specifically, the present disclosure describes how a hypervisor of a host machine may monitor the status of one or more virtual processors that are executing on the host machine and deliver interrupts to the virtual processors based on a number of factors including, but not limited to, a priority of the interrupt, a priority of the virtual processor, a current workload of the virtual processor and so on.

Abstract: A computer-implemented scaling method, an apparatus, and a computer program product for detecting whether a performance of a system reaches a target performance are provided. The method includes scaling a layered software environment, including scaling a first layer software environment in the layered software environment in response to the performance of the system not reaching the target performance and scaling a second layer software environment that is above the first layer software environment in the layered software environment in response to the performance of the system not reaching the target performance despite the first layer software environment being scaled. The method also includes scaling hardware resources used for executing the layered software environment in the system in response to the performance of the system not reaching the target performance before scaling of the first layer software environment or after scaling of the second layer software environment.

Abstract: A computer-implemented scaling method, an apparatus, and a computer program product for detecting whether a performance of a system reaches a target performance are provided. The method includes scaling a layered software environment, including scaling a first layer software environment in the layered software environment in response to the performance of the system not reaching the target performance and scaling a second layer software environment that is above the first layer software environment in the layered software environment in response to the performance of the system not reaching the target performance despite the first layer software environment being scaled. The method also includes scaling hardware resources used for executing the layered software environment in the system in response to the performance of the system not reaching the target performance before scaling of the first layer software environment or after scaling of the second layer software environment.

Abstract: Technologies for composing a managed node with multiple processors on multiple compute sleds to cooperatively execute a workload include a memory, one or more processors connected to the memory, and an accelerator. The accelerator further includes a coherence logic unit that is configured to receive a node configuration request to execute a workload. The node configuration request identifies the compute sled and a second compute sled to be included in a managed node. The coherence logic unit is further configured to modify a portion of local working data associated with the workload on the compute sled in the memory with the one or more processors of the compute sled, determine coherence data indicative of the modification made by the one or more processors of the compute sled to the local working data in the memory, and send the coherence data to the second compute sled of the managed node.

Abstract: The present disclosure relates to computing resource allocation methods, devices, and systems. One example system includes a management node and a target computing node. The management node is configured to obtain M computing tasks and establish a resource assessment model, and send one or more computing tasks of the M computing tasks and information about the resource assessment model to the target computing node. The target computing node is configured to receive the one or more computing tasks and the information about the resource assessment model, substitute input data of a particular computing stage of a target task into the resource assessment model to compute a resource size required for the particular computing stage, and compute the input data by using a computing resource that is of the resource size and that is in a preset resource pool.

Abstract: In embodiments, methods and systems for implementing source code extraction are provided. Source code extraction facilitates processing obfuscated byte code and extracting source code representations of original source code of applications. Source code extraction is implemented based on leveraging and monitoring an interpreter (e.g., a software interpreter running on a virtual machine) when portions of obfuscated byte code (i.e., obfuscated compiled version of source code) are loaded or executed using the interpreter. In operation, the obfuscated byte code is accessed at the interpreter. The interpreter, processing the obfuscated byte code, is monitored using a source code extraction manager that supports instrumentation instances associated with functions of the obfuscated byte code. Instruction sequences of functions that the interpreter is processing are recorded using the source code extraction manager.