Systems, software, and methods for managing networks of connected electronic devices are described. In one example, network management policy and network management applications are transferred automatically upon detection and identification of a new device, protocol or application on the network. In another example, information related to at least one aspect of the network is obtained by an NMAS, and at least one applicable management policy is identified by the NMAS; and the identified policy is used to manage at least one aspect of the network's operation.

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.

A task processing method, a task processing device and an electronic device are provided, which relate to the field of cloud computing technology and big data technology, in particular to the field of task processing technology. The task processing method includes: obtaining a task processing request for a to-be-processed task, the task processing request including processing time information of the to-be-processed task and a service type of the to-be-processed task; in the case that the processing time information of the to-be-processed task meets a triggering condition, writing the to-be-processed task into a corresponding message queue in accordance with the service type of the to-be-processed task, one message queue corresponding to a respective one service type; and processing the to-be-processed task in the message queue, to obtain a task processing result of the to-be-processed task.

A method and apparatus for processing a service using a request in a computer readable storage medium. An embodiment of the method comprises: acquiring a service using a request for a vehicle-mounted device; determining a to-be-processed request from unprocessed service using requests; determining, using a preset navigation status service layer, a service type to which the to-be-processed request belongs; and calling, using the navigation status service layer, a service module corresponding to the service type to process the to-be-processed request, the navigation status service layer recording corresponding relationships between different service types and different service modules.

A system for optimizing deployment of a machine learning workload is provided. A computer device receives information pertaining to a machine learning workload to be processed for a client device. The computer device determines a machine learning model for the workload and a processing location for the workload based, at least in part, on the information. The computer device generates a request to process the workload at the determined processing location utilizing the determined machine learning model.

Improved network traffic flow processing techniques are described. In a network device providing multiple processing planes, each processing plane comprising multiple processing units, techniques are described that take advantage of flow affinity/locality principles such that the same processing component of a processing plane, which previously performed processing for a network flow, is used for performing subsequent processing for the same network flow. This enables faster processing of network traffic flows by the network device. In certain implementations, the techniques described herein can be implemented in a network virtualization device (NVD) that is configured to perform network virtualization functions.

A control method executed by a computer, including: when accepting execution instructions for a first task and a second task, adding an operation code that causes execution of an operation, to a processing program that corresponds to the first task, and generating a first program that includes the processing program and the operation code; encrypting a second program that corresponds to the second task to generate encrypted data, by using an operation result obtained based on the execution of the operation; and transmitting the first program and the encrypted data to a device that corresponds to the first task.

A processor is provided and includes a core that is configured to perform a decode operation on a multi-instruction packet comprising multiple instructions. The decode operation includes receiving the multi-instruction packet that includes first and second instructions. The first instruction includes a primary portion at a fixed first location and a secondary portion. The second instruction includes a primary portion at a fixed second location between the primary portion of the first instruction and the secondary portion of the first instruction. An operational code portion of the primary portion of each of the first and second instructions is accessed and decoded. An instruction packet including the primary and secondary portions of the first instruction is created, and a second instruction packet including the primary portion of the second instruction is created. The first and second instructions packets are dispatched to respective first and second functional units.

Methods, apparatus, systems and articles of manufacture are disclosed to manage cloud provider sessions. An example apparatus includes at least one computer readable medium; and processor circuitry to execute instructions that cause the processor circuitry to: in response to detecting a first request to establish a first session with a cloud provider that is to perform a first action: establish the first session using credentials associated with the cloud provider; record a lifespan of a session token associated with the first session; and transmit the session token to a cloud provider adapter to facilitate communication between the cloud provider adapter and the cloud provider; and in response to detecting a second request to establish a second session with the cloud provider that is to perform a second action, transmit the session token to the cloud provider adapter to facilitate communication between the cloud provider adapter and the cloud provider.

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.