A method, system, and computer program product to plan and schedule executions of various utility tasks of a utility command during a maintain window, the method including receiving a utility command. The method may also include identifying possible utility tasks used to execute the utility command. The method may also include determining preferred utility tasks. The method may also include calculating a degree of parallelism for the preferred utility tasks. The method may also include generating a utility execution plan for the utility command. The method may also include analyzing the utility execution plan against resource constraints of a time window and sub time windows of the time window. The method may also include generating a time window execution plan for each sub time window of the sub time windows. The method may also include updating the utility execution plan with the time window execution plans.

Optimizing a performance of a software function within a content delivery network, such as a software-implemented virtual cable modem termination system (CMTS) network, a virtualized Radio Access Network (vRAN), a Passive Optical Network (PON), or a Wi-Fi network. The performance may be optimized by dynamically changing a deployment location of a software function for a set of one or more users but not all users of a content delivery network from an original location to an updated location using an instance management platform. The deployment location may be dynamically changing in response to a variety of trigger conditions or concerns, such as but not limited to a difference in compute resources, responding to latency needs or tolerances, and a desired cohabitation of data or other software.

In an information processing apparatus, a second central processing unit (CICU) uses an alteration detection program stored in a second memory to perform alteration detection on a program to be executed at a time of activation of a first CPU stored in a first memory. In a case where no alteration is detected in the program to be executed at the time of activation, the second CPU activates the first CPU using the program to be executed at the time of activation, and uses the activated first CPU to switch a program to be executed by the second CPU from the alteration detection program stored in the second memory to another processing program stored in the first memory.

A request to perform a compute task is received. A plurality of compute processor resources eligible to perform the compute task is identified, wherein the plurality of compute processor resources includes two or more of the following: a field-programmable gate array, an application-specific integrated circuit, a graphics processing unit, or a central processing unit. Based on an optimization metric, one of the compute processor resources is dynamically selected to perform the compute task.

A processing device comprising: at least one execution unit configured to interleave execution of a plurality of worker threads, wherein each of the worker threads is configured to execute a same set of code to perform operations on a different set of data held in an input buffer of a memory of the processing device and output the results data to an output buffer. An instruction is executed so as to cause a plurality of operand registers, each of which is associated with one of the worker threads, to be populated with one or more variables enabling each worker to determine where in the input buffer is located its set of input data and where to store its results data.

An arithmetic processing device includes arithmetic processing units, each having a calculator unit; a scheduler that controls a push instruction to write data to a register file in one of the arithmetic processing units and a pull instruction to read data from the register file; a pull request bus to which the scheduler outputs a pull request and which is connected to the arithmetic processing units; a push request bus to which the scheduler outputs a push request and which is connected to the arithmetic processing units; and a pull data bus that inputs, into the scheduler, pull data read from the register file in response to the pull request. Each of the arithmetic processing units includes a pull data turn-back bus that propagates pull data read from its register file to the pull data bus.

The present invention relates to an installation technology of components of an edge cloud, and particularly, to a system and a method of edge cloud building for high-speed installation of components of an edge cloud, which can reduce generation and setting operation hours of individual components by automating installation of individual components of the edge cloud.

To this end, in the edge cloud building system according to the present invention as a edge cloud building system for high-speed installation of components of an edge cloud, hierarchical components (IaaS, KaaS, PaaS) of an edge cloud are installed by using a server node image and a PaaS component image, and then detailed setting of the hierarchical components is performed by using a declarative script.

An automated improving of quality of service of a data center. Transients of a power grid fed to a power supply unit are monitored by a probe. Information on transients is provided across an interface to a server of the data center. Based on characteristics of the transients, a reliability of the data center is subjected to automated updating. A request for migration of workload requiring a higher reliability than the updated reliability can be sent to a central management. When the central management has identified another data center that can meet the required reliability, the central management migrates or relocates the workload to the another data center.

Discussed herein are devices, systems, and methods for secure access to offline data. A method can include configuring a device in a task retrieval state and retrieving a task to be executed on a cold storage device while the device is in the task retrieval state, configuring the device in a disconnected state after retrieving the task, and configuring the device in a task execution state after the device is in the disconnected state and executing the task on the cold storage while the device is in the task execution state. In the task retrieval state, the device can communicate with a buffer network and cannot communicate with a cold network. In the disconnected state, the device cannot communicate with either the cold network or the buffer network. In the task execution state, the device can communicate with the cold network and cannot communicate with the buffer network.

To appropriately execute a task by an electronic control device including a processor having a plurality of cores. An ECU 100 includes a multi-core CPU having a plurality of cores that execute a first task that has an execution time that varies depending on a processing amount every predetermined cycle and a second task that is higher in priority than the first task and is prohibited from being interrupted. The second task is set to be inexecutable simultaneously between the plurality of cores. A task allocation unit 11 generates a first plan. A diagnosis task planning unit 12 generates a second plan. Task processing units 10a and 10b execute the first task based on the first plan. A diagnosis task correction unit 13 times a delay time of the first task executed by the task processing units 10a and 10b, and postpones the second task of the second plan to the subsequent executable timing in accordance with the timed delay time. A diagnosis unit 14 executes the second task for each core based on the second plan corrected by the diagnosis task correction unit 13.