100 results about "Cpu architecture" patented technology

The invention relates to the technical field of automatic deployment of cloud computing platforms, in particular to a self-adaptive deployment method and system oriented to a credential heterogeneous environment. Aiming at three technical bottlenecks of low multi-CPU architecture adaptation efficiency, frequent software dependence conflicts and complex security baseline configuration in a localization process, a heterogeneous computing resource intelligent scheduling engine and a dynamic security policy generation mechanism are innovatively provided. The method comprises the following steps: constructing a heterogeneous resource portrait through a hardware feature automatic identification technology, and realizing component installation sequence optimization based on a DAG dependency relationship analysis algorithm and Kahn topological sorting; and creating an adaptive network security policy, and sensing the firewall state of the target system in real time through a probe. Compared with a traditional deployment mode, the method supports cross-architecture compatibility, solves the problem of dependency conflicts, improves deployment efficiency, and guarantees consistency and safety of the system.

The embodiment of the invention provides a data processing method and device, electronic equipment and a storage medium, and relates to the technical field of big data, the method comprises the following steps: in response to a received data query task, decomposing the data query task to obtain an execution plan corresponding to the data query task, the execution plan comprises a plurality of execution processes and a target operator corresponding to each execution process; converting each target operator into a target vectorization operator, distributing each target vectorization operator to a corresponding target computing node, obtaining CPU architecture information corresponding to the target computing node, and determining a target vectorization operator library matched with the CPU architecture information; whether the target vectorization operator relates to migration data reading or not is judged, the data processing process corresponding to the execution plan is executed through the target vectorization operator library according to the judgment result, and the execution result corresponding to the execution plan is obtained, so that the data processing efficiency is improved.

The invention discloses an installation method of a server operating system, a server management system, a storage medium and an electronic device, and relates to the technical field of server operating system management.The method comprises the steps that an operating system installation package corresponding to a central processing unit architecture type of a to-be-installed server is selected from preset operating system installation packages, installing the operating system installation package in the to-be-installed server; a configuration file obtained by analyzing a configuration instruction of the target object is obtained, an installation script is generated by using configuration parameters in the configuration file, and the configuration instruction is received through a central management interface of the server management system; and executing the installation task of the installation script so as to configure the operation system installed by the to-be-installed server, and by adopting the technical scheme, the technical problem that the installation efficiency of the operation system of the server is low when the server is oriented to servers of different CPU architecture types is solved.

The invention provides an intelligent scheduling method and system for a micro-service application based on cloud edge collaboration. According to the method, firstly, micro-service applications and dependencies are packaged into mirror images through a Docker container technology, then container mirror images of corresponding architectures are distributed according to CPU architecture information of a current node, and deployment failure caused by architecture mismatching is avoided. The resource state information collected by the intelligent Agent of each current node provides real-time data support for scheduling decision, the scheduling center combines the resource state information to judge whether the resource request of the micro-service application exceeds the available resource threshold value of the node, and when the resource request does not exceed the available resource threshold value, scheduling is allowed; a target node of each micro-service application is determined through a multi-target particle swarm optimization algorithm, scheduling distribution is triggered, and dynamic optimal distribution of cloud edge resources is achieved. By dynamically matching the micro-service demand and the cloud side node resources, the communication efficiency and the load balance are considered, and the problems of low efficiency and resource mismatching of traditional manual scheduling are solved, so that the scheduling efficiency can be improved.

The invention relates to the technical field of embedded system development and verification, and discloses an embedded software full-digital excitation deployment method, system, device and medium, and the method comprises the steps: based on a virtualization modeling technology of a multi-core heterogeneous system, simulating a CPU architecture, an operating system, board card peripherals and peripheral interfaces of a target processor, constructing a general digital target machine; a cross-platform communication framework is established based on a real-time communication transmission technology of direct digital frequency synthesis, and real-time synchronization of data of a virtual environment and an interaction object is completed; and through cooperation of the general digital target machine and the cross-platform communication framework, full-digital deployment and verification of the embedded software are completed. According to the method, full-digital development and verification of the embedded software can be realized, a research and development mode of parallel hardware development, software development and system function verification is met, and the research and development efficiency of the embedded software is improved.

The invention discloses a multi-mode automatic deployment starting method and system for redis, and belongs to the technical field of memory databases, and the method comprises the following steps: an early-stage preparation work part: making a redis binary executable program compatible under different CPU (Central Processing Unit) architectures; the resource verification part is used for verifying node information, a node memory and node disk information configured in the configuration file; the storage configuration part is used for configuring a storage directory according to the storage information configured in the configuration file, and automatically creating and mounting a data disk for a redis working directory; and the self-deployment part is used for installing a binary executable program into each node according to node information configured in the configuration file, modifying necessary parameters of the redis configuration file, and pushing the redis configuration file to a data directory of each node. According to the method and the device, the redis can be automatically deployed and started according to different CPU architectures and deployment modes under the condition of different CPU architectures and deployment modes.

The invention provides a double-CPU (central processing unit) communication control system, which relates to the technical field of CPU communication and realizes peer-to-peer task interaction and asynchronous execution between a main CPU and an auxiliary CPU by introducing a bidirectional task request mechanism and a multi-priority task queue. When the system is started, a task queue is initialized, and efficient transmission of tasks is achieved through task sending and receiving services. The task queue supports multiple data types, and the execution sequence can be dynamically scheduled according to the task priority. In addition, the system supports task timeout retransmission, error processing and dynamic load balancing of task threads, and the reliability and the resource utilization rate of the system are further improved. Through a parameter configuration function, a user can flexibly adjust a task priority strategy, overtime setting and other parameters according to actual requirements so as to adapt to different application scenes. The invention aims to optimize the task execution and communication efficiency under the dual-CPU architecture.

The invention relates to the technical field of computer networks, and discloses a DPDK-based high-speed data isolation method, which comprises the following steps of: S1, directly taking over a data packet transceiving function of a network card through a DPDK driver, bypassing a kernel protocol stack of an operating system, and establishing a user mode data channel; s2, based on a multi-core CPU architecture, distributing the received data packets to independent processing cores according to a preset rule, and binding each processing core to an exclusive memory pool to realize physical-level data isolation; and S3, directly transmitting the isolated data to a target application module through a zero copy technology in the user mode, and verifying the data integrity in real time through a hardware verification module. According to the method, the network card is directly taken over through the DPDK driver, the user state data channel is established, an operating system kernel protocol stack is bypassed, the zero copy technology is combined, data does not need to be copied in the whole process from receiving, processing to transmission, the end-to-end delay is reduced to 50 microseconds or below, and the method is suitable for a high throughput scene.

The application discloses a kind of sampling data validity checking methods under the double CPU architecture of relay protection, comprising: protection device detects and judges whether sampling value is established, judges to be established with the same phase sampling value as synchronous reference quantity and carries out forward zero-crossing protection sampling adjustment, synchronously double CPU sampling;The deviation of the sampling value of double CPU is compared to judge whether double CPU sampling is inconsistent, if it is judged that it is inconsistent, then protection device sends corresponding alarm information and locks corresponding protection element.The application can adjust the sampling period according to the sampling value of CPU, ensure that double CPU is in consistent sampling beat, realize the effectiveness check of sampling data by the method of double CPU information sharing in the protection application level, solve the problem of isolated sampling data of double CPU, improve the stability of protection device, and have good application prospect.

The application discloses a method for executing data writing by using an autonomous yielding mechanism in a multi-CPU architecture, which is suitable for a solid state disk storage device. The method divides a main buffer area into multiple sub-buffer areas, each of which corresponds to at least one CPU, independently processes data writing and maintains a writing state; a global data consistency mark table and a local mark table are established to track the writing progress of each sub-buffer area, forming a double-layer consistency management. Each CPU sequentially writes data according to the corresponding sub-buffer area, and autonomously judges whether to interrupt, shorten or abandon the current writing section based on local observation information, temporarily yields the writing permission to other CPUs, temporarily retains and tracks the written data, continues writing when the subsequent CPU is completed or the system allows, and synchronously updates the mark table after any writing or yielding is completed, so as to maintain data consistency and overall efficiency.

The present invention relates to the field of big data analysis, in particular to a Linux printer driver method and system based on a virtual machine across CPU architectures. By using the qemu virtual machine to start at least one minimal Linux environment based on the x86 system architecture, an initial environment is obtained; the Linux printer device located at the usb port is identified and captured based on the virtual machine, the first printer driver is redirected through usb redirection technology, the CUPS service port of the initial environment is mapped by using ip port redirection technology, and the second printer driver is installed on the CUPS service port in the target environment; the content to be printed is obtained, and the printing instruction is executed on the content to be printed based on the target printer driver. The printing tasks can be allocated according to the server CPU, memory, and bandwidth loads, reducing the single point of failure rate.

This application provides a method for processing errata by a virtual machine, and a related device, and relates to the field of computer technologies. The method for processing errata by a virtual machine is applied to an electronic device. The electronic device includes a CPU architecture including at least one type of physical CPU, and a VM and a VMM for managing the VM running on the electronic device. The method includes: The VMM obtains errata-related information of the CPU architecture, and shares the errata-related information with the VM, where the errata-related information includes CPU type information and timer errata information; the VM identifies, based on the errata-related information, errata in the CPU architecture; and the VM performs repair processing on the identified errata. In this application, the virtual machine may accurately process the errata in the CPU architecture, thereby improving running stability of the virtual machine.

The present invention relates to the technical field of platform door control, and in particular to a communication-based SIL4-level platform door system, comprising a domain controller, a DCU, an external interface and other subsystem devices; the platform door system realizes interconnection and intercommunication with a signal system and other subsystem devices through bus connection and hard-wire connection, thereby ensuring high security and high reliability of the system, and adopts a dual CPU architecture inside the domain controller and the door control unit, and the dual CPU design can perform double processing and cross-verification on data to ensure the accuracy and consistency of the data, thereby replacing the existing relay circuit to achieve the SIL4 safety level; the data transparent transmission mechanism performed by a single CPU reduces data transmission delay and improves real-time response capability.

The application relates to the field of automation arrangement, in particular to a cross-platform deployment automation arrangement system and method based on a Xinhua environment, which comprises a recognition module for recognizing the CPU architecture and the operating system of each server; a server evaluation module comprising an information collection unit, a first evaluation unit and a second evaluation unit; the information collection unit is used for acquiring the working information of each server in real time; the first evaluation unit is used for constructing a single performance score set according to the working information; and the second evaluation unit is used for calculating a comprehensive score according to the single performance score set. Compared with common simple weighted average or static threshold method and other deployment decision methods, the core advantage of the application lies in that the mutual dependence relationship among server resources is accurately simulated by introducing a dynamic coupling rule, so that the decision pitfalls such as "high-performance CPU with low memory" caused by the independence of the assumed indexes in the traditional method are solved.

The embodiment of the specification discloses a video monitoring adaptation interface and an adaptation method thereof, wherein the video monitoring adaptation interface adopts a layered architecture design of a hardware adaptation layer, a core service layer and a unified interface layer. The hardware adaptation layer respectively performs adaptation conversion according to CPU architecture and OS type of a video monitoring system and a communication protocol of a video acquisition device, and realizes unified adaptation to different hardware platforms, operating systems and video devices; the core service layer provides reliable video service processing capability; and the unified interface layer converts internal services into standardized interfaces. The application realizes 'one development, multiple deployment', reduces adaptation cost between various video monitoring systems and external systems, and improves compatibility and maintainability of a ship video monitoring system.

The application discloses a vehicle remote compliance test method, device, equipment and medium, and relates to the technical field of Internet of Vehicles safety, and the method comprises the following steps: reverse analyzing the CPU architecture of a target vehicle terminal to determine a to-be-tested program, and transmitting a compliance test tool into the target vehicle terminal; injecting the to-be-tested program into the compliance test tool, and then starting the compliance test tool to generate a test log; acquiring a request log sent by a server in the compliance test tool, and sending the test log to the server based on the request log, so that the server generates a test report based on the test log. Through the above scheme, the test efficiency is improved without closing the daemon process, without performing simulation, and only by transmitting the to-be-tested program into the compliance test tool, the test log can be generated, and then the test report is generated by using the test log.

The invention relates to a file operation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: initializing a first negotiation message; the target byte order is adopted to convert the first negotiation message, and the converted first negotiation message is sent to a data processor; receiving a second negotiation message returned by the data processor; analyzing the second negotiation message based on the host byte order; when the value of the second byte order negotiation identification field obtained through analysis is a target value, converting the data processor byte order field according to a target byte order to obtain a data processor byte order; wherein the target values are equal under the large-end byte order and the small-end byte order; and performing byte order negotiation under the condition that the byte order of the data processor is inconsistent with the byte order of the host. By adopting the method, the problem of cross-CPU architecture compatibility is avoided, and the accuracy of file operation can be ensured.

The invention provides a software performance defect mining method based on cross-architecture comparison, and relates to the technical field of computer software, the method comprises the following steps: when a test set of to-be-detected software runs on a cross-CPU architecture, respectively acquiring corresponding performance data, and taking the ratio of the performance data as a to-be-detected performance data point, calling an auto-encoder to detect an abnormal test case; when the abnormal test case runs in the cross-CPU architecture, respectively collecting corresponding multi-dimensional performance data, and executing cross-CPU architecture function matching in the cross-architecture to obtain a successful matching function; and when the specific value of the clock cycle number of the successful matching function on the cross-CPU architecture is greater than a reference threshold value, determining that the successful matching function is a function causing the to-be-detected software to have performance defects. Through the software performance testing method and device, the problems that when software performance testing is carried out on a single framework, performance abnormity is judged by depending on manual setting of indexes, the cross-framework condition requirement cannot be met, and performance bottlenecks in the framework adaptation process are difficult to recognize are solved.

The present application discloses a method and device for managing PCI bus addresses of a multi-CPU architecture virtual machine, including: configuring a primary PCI bus address with consecutive first address bits as a PCI bridge device, where any one of the PCI bridge devices corresponds to a secondary PCI bus, so as to access corresponding virtual PCI devices through the secondary PCI bus under the PCI bridge device, and no secondary PCI bridge device is mounted under any secondary PCI bus; configuring a primary PCI bus address with consecutive second address bits as a virtual on-board PCI device, where the second address bits do not overlap with the first address bits. Embodiments of the present application allocate virtual devices to specified PCI address ranges according to different virtual device types, make full use of the PCI address ranges, avoid insufficient PCI device numbers, and improve the manageability of virtual devices and the scalability of the bus.

The invention relates to a visual monitoring method and device of a power system, computer equipment and a readable storage medium. The front-end monitoring platform recognizes a CPU architecture type by responding to a starting instruction of a browser, loads an adaptation packet of a corresponding type according to the recognized CPU architecture type, obtains encryption and decryption parameters corresponding to the adaptation packet, decrypts a monitoring data packet based on the encryption and decryption parameters under the condition that the monitoring data packet pushed by a server is received, and sends the decrypted monitoring data packet to the server. And performing hierarchical rendering on the monitoring data based on the distance information of the nodes in the monitoring data so as to obtain a monitoring picture and display the monitoring picture. Due to the fact that the adaptation package of the corresponding type is loaded by recognizing the type of the CPU architecture, the WebAssembly code can be seamlessly operated in a cross-architecture mode, and expansibility is improved; and the monitoring data packet pushed by the server only comprises the data change part, so that the data transmission efficiency can be improved, and the transmission delay can be reduced.

The invention discloses a multi-task modular hierarchical regulation and control system based on a multi-core CPU architecture, which relates to the technical field of power generation control, and comprises a domestic multi-core CPU hardware basic module adopting a Feiteng or Peng architecture, a triple modular redundancy design and a 24-bit AD signal acquisition module based on a domestic operating system; the multi-task hierarchical scheduling core module is used for five-level priority division, a core binding and dynamic migration strategy and an improved round-robin algorithm; the modular function adaptation interface module supports hot plug, parameter self-matching and dual-path redundancy switching; the running state monitoring and feedback module is used for evaluating the health state in a weighted fusion manner; and an open development support module, dual-mode configuration and an encapsulation algorithm support third-party development and version management. According to the method, DCS autonomous controllability and efficient and balanced multi-task scheduling are realized, the operation monitoring and operation and maintenance intelligent level is improved, and safe and efficient operation of a unit is guaranteed.

The present application relates to the technical field of cloud computing platform automation deployment, and particularly relates to a self-adaptive deployment method and system for a heterogeneous environment of a signal creation, and to three major technical bottlenecks of low multi-CPU architecture adaptation efficiency, frequent software dependency conflicts and complex security baseline configuration in the process of localization, and an intelligent heterogeneous computing resource scheduling engine and a dynamic security policy generation mechanism are innovatively proposed. The method comprises: constructing a heterogeneous resource portrait through hardware feature automatic identification technology, and realizing component installation sequence optimization based on a DAG dependency relationship analysis algorithm and Kahn topological sorting; creating an adaptive network security policy, and realizing real-time perception of the target system firewall state through a probe. Compared with the traditional deployment mode, the present application supports cross-architecture compatibility, solves the problem of dependency conflicts, improves the deployment efficiency, and guarantees the consistency and security of the system.

The application discloses a kind of Xinxin terminal compatibility mutual authentication and performance tuning pedestal system, it is related to Xinxin terminal compatibility mutual authentication and performance tuning pedestal technical field, for solving the problem that address book module, service number module and workbench module under multiple Xinxin operating system and domestic CPU architecture are difficult to be uniformly carried, multi-security domain service routing error and terminal performance and compatibility are difficult to collaborative optimization;Around Xinxin terminal pedestal, collaborative work such as dependent reconstruction module, mobile application interface architecture rendering scheduling module is constructed, based on environmental compatibility score, Xinxin terminal pedestal construction and dependent reconstruction are automatically completed, under the premise that unlicensed personal information in public places is not collected, in combination with business module loading sequence optimization, interface scaling and rendering priority control and performance score and Xinxin compatibility test matrix closed loop optimization, improve the unified interface experience and running stability under multiple operating systems, multiple CPU architecture and multiple security domain deployment.

This application discloses a method, apparatus, device, and medium for deploying an agentless antivirus component on a cloud platform, relating to the field of cloud platform technology. The method includes: obtaining CPU architecture information of a target node in a target cloud platform to obtain target CPU architecture information; determining the target CPU architecture type of the target node based on the target CPU architecture information, and searching for a target deployment package file of the corresponding target agentless antivirus component in a preset agentless antivirus component library based on the target CPU architecture type; issuing a deployment command for the target agentless antivirus component and sending the target deployment package file to the target node of the target cloud platform, thereby deploying the target agentless antivirus component to the target node of the target cloud platform. This solution enables the automatic deployment of agentless antivirus components on the cloud platform to meet the agentless security protection requirements for virtual machines in a cloud platform under a hybrid CPU architecture.

The invention relates to the technical field of cloud computing security, in particular to a bare metal console implementation device and method with endogenous security capability, and the device comprises a user side agent module which is used for receiving a bare metal VNC console access request initiated by a user and distributing the request to three heterogeneous service agent nodes; operating systems and CPU (Central Processing Unit) frameworks of the three service agent nodes are different from one another, and service agent components corresponding to different bare metal VNC console access modes are respectively deployed on the nodes; the feedback control module is used for collecting running state data of the service agent node, generating judgment parameters and sending the judgment parameters to the strategy judgment module, and is used for executing release or link reset operation according to a judgment result of the strategy judgment module; and the strategy judgment module is used for carrying out consistency judgment on output results of the three service agent nodes based on the judgment parameters and feeding back a judgment result to the feedback control module. According to the invention, high security and high availability of bare metal VNC console access are realized.

The present application discloses a container image data processing method, device, equipment, and medium, which are applied to a container image data processing device that interfaces with a container image repository. The method includes: obtaining event information sent by the container image repository through a preset interactive interface to indicate the successful upload of an image file, and determining a target image file that meets preset file processing conditions based on the event information; creating a first index file corresponding to the target image file; processing the file information in the first index file based on a preset inspection and processing method to obtain a second index file corresponding to the target image file; and sending the second index file to the container image repository through a preset interactive interface. The present invention, driven by events, utilizes a container image data processing device to create an index file containing multiple CPU architectures, reducing the tedious operations when users upload images, and has significant effects in the production and push of multi-architecture data for large-scale images.

A method and system for prioritizing and allocating threads in a heterogeneous CPU architecture includes receiving an input to create a frame on a display device of a PCD. Next, execution threads responsible for creating the frame and corresponding to a plurality of first CPU cores in the CPU architecture are identified. The CPU architecture includes first CPU cores and second CPU cores, wherein each first CPU core has a first processing capacity and each second CPU core has a second processing capacity. The first processing capacity is greater than the second processing capacity. During a predetermined period of time, a ranking of the threads is created according to the workload levels of the threads. And then determining a workload level for the presence of each first CPU core. A ranking of the first CPU core is created according to an existing workload level of the first CPU core, after which each thread is assigned to a single first CPU core.

A system and method for enhancing the performance of a Central Processing Unit (CPU) for artificial intelligence (AI) workloads. An orchestration engine logically partitions physical CPU cores into a plurality of “micro-containers,” which are isolated execution sandboxes. A workload profiler analyzes incoming AI tasks and provides performance metrics to an autoscaler. The autoscaler dynamically adjusts the number of active micro-containers on each core to optimize performance based on real-time hardware counter data, such as instructions-per-cycle or cache-miss rates. This architecture allows general-purpose CPUs to achieve performance comparable to specialized GPUs for parallel processing tasks, while reducing cost and power consumption.

The embodiment of the application provides a cross-architecture micro-service scheduling management system based on a large model, comprising: a cross-CPU architecture probe deployed on each computing node, used for collecting multi-element data of the computing node, the multi-element data comprising static instruction set features and dynamic runtime performance data; an instruction set perception layer, used for receiving and processing the multi-element data, and generating a performance portrait corresponding to the multi-element data through a large model; an intelligent monitoring layer, used for dynamically generating architecture-specific monitoring indicators based on the performance portrait and an architecture knowledge graph; a scheduling optimization layer, used for generating a service scheduling scheme according to the architecture-specific monitoring indicators and a preset multi-target dynamic balancing algorithm; and a drift adaptation layer, used for, when receiving a down drift instruction, driving a mirror real-time adaptation engine through a large model, and calling a mirror adaptation rule to perform service instance migration across the CPU architectures; the embodiment realizes maximum exertion of service performance and efficient utilization of cluster resources.

The invention discloses a dual-redundancy power supply CPU architecture and an operation method thereof, and relates to the technical field of aviation power distribution. In the design of the dual-redundancy power supply CPU board, the power supply sources of the main CPU board and the standby CPU board do not depend on the combination of dual-redundancy power supply frameworks in a single power supply board, but come from the output of the power supply in the board card of the main CPU board and the standby CPU board, so that the power supply safety of the CPU board components is achieved; a two-way contactor is designed for the important key load, a dual-redundancy output circuit is designed in a main and standby power supply CPU board, and each redundancy can control the two-way important key load contactor so as to achieve the safety of the important key load control capability; if the main board fails, the main board is automatically switched to the standby board by means of mechanisms such as whether a key load can be controlled or not and communication self-checking, so that the safety of the dual-redundancy architecture is achieved.