6results about How to "Implement automatic deployment" patented technology

The invention is applicable to the technical field of computer software, and provides an application deployment method, which comprises the following steps: acquiring code information of a to-be-deployed application; generating a mirror image file based on the code information, and storing the mirror image file in a mirror image warehouse; and under the condition that the mirror image file is stored in the mirror image warehouse, sending a deployment command to a second electronic device, so that the second electronic device logs in the mirror image warehouse based on the deployment command to download the mirror image file, generates a container based on the mirror image file, and deploys the application based on the container. Automatic deployment can be realized, so that the application deployment efficiency can be improved.

The embodiment of the application provides a kind of fog computing system, method, electronic equipment and storage medium, applied to fog computing technical field, server, receives the computing instruction sent by user;First computing request for executing target algorithm analysis task is sent to first fog computing device;First fog computing device, for receiving first computing request;According to the algorithm identification and the computing resource information required for executing target algorithm analysis task, it is judged whether itself can execute target algorithm analysis task, and the second computing request of fog computing task is generated and sent to second fog computing device;Second fog computing device, receives second computing request;According to the algorithm identification required for executing target algorithm analysis task, the algorithm required for executing target algorithm analysis task is obtained from server, and target algorithm analysis task is executed.The application can realize the automatic selection of fog computing device and the automatic deployment of fog computing task, and improve the utilization efficiency of resources in fog computing system.

This invention discloses a server deployment method, apparatus, electronic device, storage medium, and program product. Specific implementation includes: determining a deployment task and a server to be deployed as indicated by the deployment task; determining a startup mode corresponding to the server to be deployed based on the deployment task; determining a basic configuration file corresponding to the server to be deployed based on the startup mode; determining a file to be deployed based on the startup mode and the basic configuration file; and downloading the file to be deployed to the server to be deployed. By determining the deployment task through a device evaluation platform, automatic deployment of the server to be deployed is achieved. Determining the basic configuration file ensures consistency during deployment by the device evaluation platform. Downloading the file to be deployed to the server simplifies the deployment process, reduces manual operations, and provides a stable and reliable operating environment for upper-layer services.

The invention provides a micro-service remote management method and system in the technical field of micro-service management, and the method comprises the steps: S1, a server obtains an input application code, carries out the compiling and packaging of the application code through a continuous integration tool and a shell script, obtains a software package of a micro-service, and sets the software information of the software package; s2, uploading the software package to an FTP (File Transfer Protocol) server; s3, binding and storing the software information corresponding to the software package and the mirror image warehouse address to a message queue; s4, after the client side and the server side are authenticated, the software information and the mirror image warehouse address are obtained through the intranet subscription message queue; s5, after version verification is carried out based on the software information, a software package is downloaded from the FTP server based on the mirror image warehouse address; and step S6, based on the software package, performing silent updating operation on the micro-service deployed locally through Kubernetes. The method has the advantages that the micro-service updating convenience and the user experience are greatly improved.

The invention discloses a system and an implementation method based on load balancing and port aggregation, and belongs to the technical field of communication, and the system comprises a load balancer which is responsible for receiving a client request and distributing the request to a back-end server according to a certain algorithm; the link aggregation controller is used for managing data flows among the plurality of physical ports and realizing link redundancy and load sharing; and the back-end service layer is composed of a plurality of servers. Requests are distributed to a plurality of back-end servers through the load balancer, the continuity of the whole service is not affected even if a certain server breaks down, meanwhile, link redundancy is achieved through the link aggregation technology, the system can continue working through other links even if a certain physical link fails, and the service efficiency is improved. And the stability and the reliability of the system are greatly improved.

The invention discloses a pulse stream processing method and device based on a multi-core processor, and belongs to the field of digital signal processing, and the method comprises the steps: dividing a pulse processing flow into a plurality of operator units, and on the basis, combining the core number of the processor and the average operation time of the operator units, uniformly combining the operator units, and dividing the operator units into functional blocks; and deploying each functional block on the multi-core processor in a grading manner, and realizing pipeline processing of pulse data and outputting a processing result in real time by utilizing the parallel capability of the multi-core processor. According to the invention, the real-time performance, the flexibility, the universality and the throughput of pulse data processing can be improved.