104results about How to "Automate deployment" patented technology

The invention discloses a system for managing cloud computing service, which comprises a cloud computing management platform and a cloud application database, wherein the cloud application database is connected with the cloud computing management platform, and the cloud computing management platform is connected with public clouds or private clouds through a network; and the cloud application database comprises all installation packages for cloud application; and the cloud computing management platform is used for helping customers to realize managing a cloud host in the public clouds or private clouds and cloud application in the cloud host. The cloud computing management system provided by the invention realizes the unified management of multiple public clouds and multiple private clouds through a public cloud management interface and a private cloud management interface, so that great convenience is provided for users.

The invention discloses a data service system and method, a server and a computer readable storage medium, and belongs to the technical field of Internet. The system comprises at least one access server, wherein the access server is used for providing access service for at least one block chain platform, providing webpage-based block chain management and check functions for users, and providing private network configuration service based on multiple hosts and multiple container clusters, and the multiple hosts and the multiple container clusters are used for providing mutually isolated privatenetwork services for multiple users based on private network configuration performed by the multiple users through the access server, and running block chain engines of the multiple users through themultiple container clusters; a storage server used for providing a load balancing distributed data storage function; and a block chain service Baas bus used for providing secure data channels betweenthe servers, between the hosts and the servers, and between the access server and an external network.

The invention discloses a method for quickly deploying in a virtualization environment. The method comprises the following steps of: (1) keeping image copies of idle operating systems in a physical server; (2) transmitting system information necessary for opening a virtual server to a management server, and selecting an initialization script, creating a configuration file and mapping the initialization script and the configuration file into the equipment space of a node server by using the management server; (3) creating a virtual machine by using the management server, virtualizing the image copies of customized operating systems into a disc of the virtual server, and simulating the equipment of the node server into a compact disc read-only memory of the virtual server; (4) starting the virtual server, and running a startup script program with a specified name on the compact disc read-only memory in customized startup scripts of a system; and (5) submitting user name and password information to a foreground user self-service platform by using a resource scheduling system, and allowing a user to decrypt a cipher text and log in by using acquired plain text information. Quick provisioning, quick configuration, and safe, reliable and quick delivery of the virtual machine can be implemented in the virtualization environment.

The invention relates to the technical field of cloud computing, and especially relates to a cloud platform application automatic deployment framework. The framework comprises an application service module, a storage pool module, a host machine module and a virtual machine module. The application service module is responsible for receiving and responding to an API request of a cloud platform front end user. The storage pool module is responsible for managing an application software package and automatic script deployment. The host machine module is responsible for mounting and unloading between a storage pool and a virtual machine. The virtual machine module is responsible for receiving application service control and finishing automatic deployment of application software. The framework provided by the invention is simple and general and is used for carrying out rapid expansion in an existing cloud platform, thereby realizing one-key-to-cloud of an application.

The invention discloses a cloud computing management system. The system comprises a cloud computing management platform and a cloud application database, wherein the cloud application database is connected to the cloud computing management platform; the cloud computing management platform is connected with public clouds or private clouds through networks; the cloud application database comprises installation packages of all cloud applications; and the cloud computing management platform is used for helping a client to manage cloud hosts in the public clouds or private clouds and the cloud applications in the cloud hosts. By the cloud computing management system, various public clouds or private clouds are managed in a unified mode through a public cloud management interface and a private cloud management interface, and great convenience is brought to a user.

A collaboration service operation method provides an efficient and flexible method for operating services implemented across multiple systems. In particular, the method includes determining a change in a master record, and determining the nature of the change. Based on the nature of the change, the method further determines services to be implemented according to business rules and also determines to which systems the services will be implemented.

The embodiment of the invention discloses a block chain node deployment method and related equipment, and the method comprises the steps: obtaining a node deployment mirror image file which comprisesa communication safety agent script, a node bottom layer script and a node service script; running the communication security agent script to establish a security connection with the node management device, and receiving a node configuration file through the established security connection; running a node underlying script to obtain node information of all nodes in the target blockchain from the node configuration file, and determining the node information of all nodes in the target blockchain as attribution blockchain node information; running a node synchronization script according to the attribution block chain node information, obtaining node state synchronization information from any node of the target block chain, and updating the node state of the first device according to the nodestate synchronization information; and running the node service script, and responding to the received blockchain service request of the user. According to the invention, the deployment efficiency ofthe blockchain nodes can be improved.

The invention relates to the field of distributed calculation, in particular to a frame and running method suitable for deployment and management of a Linux distributed system. The frame comprises three parts, wherein a server Linux system starting guiding module is responsible for completing guiding starting of server hardware, and a next step after starting is performed on an installation image of an operating system; an operating system and application software installing module further comprises the operating system installing image, an application software installing source, a software installing list and an environment configuration module and is mainly responsible for providing an installing source for the operating system and application software, solidifying temporary configuration obtained in the guiding stage into fixed configuration, and installing a remote executing environment for a configuration management module; the configuration management module performs uniform configuration on the whole large-scale distributed system. The frame and running method suitable for deployment and management of the Linux distributed system solve the problem about automatic deployment and management of the Linux large-scale distributed system and can be used for automatic deployment and management of the Linux distributed system.

The invention relates to a method, device and system for propagating a QoS (Quality of Service) strategy. The method comprises the steps of: according to a received BGP (Border Gateway Protocol) routing from first network equipment in an AS (Autonomous System), generating first information, wherein the first information comprises one or more of the followings: an AS number list and a community list; according to the first information, generating a first QoS strategy corresponding to the first information, wherein the first QoS strategy comprises a routing filtering action; and sending the first information and the first QoS strategy to the first network equipment. Therefore, pre-alteration of the QoS strategy does not need to be respectively implemented on a plurality of receiving ends, works of planning a routing classification rule and configuring an entry strategy at a sending end are omitted, a work of matching a QoS local identifier with a stream behavior name at each receiving end is omitted, configuration of a QPPB (QoS Policy Propagation Through the Border Gateway Protocol) is simplified, and the maintenance difficulty is reduced.

The invention discloses a neural network compiling method and a system, and a corresponding heterogeneous computing platform. The method comprises the steps that a trained NN model is acquired; and the trained NN model is input to an NN compiler to generate an NN binary file including graph structure information corresponding to the NN model. Therefore, graph optimization during operation is realized. Furthermore, the graph structure information can be realized as a node resource pool in the NN binary file, together with file headers and free segmentation settings, so that the compiling universality and flexibility for various neural network algorithms can be improved.

The invention discloses a multi-service distributed cluster deployment system, which comprises a client, a master node and slave nodes, and is characterized in that the system realizes automatic detection of the slave nodes by utilizing the client and the master node, divides node groups according to user operation so as to determine the storage service type of each node group, and finally realizes automatic deployment by utilizing the master node. Thus, by providing the background management service at the client, the user can directly divide the node groups through the client to determine the storage service types of the node groups and finally issue the deployment command, so that the purpose of automatically deploying the multi-service distributed cluster is achieved, and the deployment efficiency is remarkably improved. In addition, the invention further provides a multi-service distributed clustering method and a WEB management service platform, and the functions of the multi-service distributed clustering method and the WEB management service platform correspond to the functions of the system.

The invention discloses media platform architecture for cloud calculation. The media platform architecture comprises an MDC pubic function module layer, an IaaS middleware uniform interface layer and a resource pool layer. The SOA structure is adopted for the resource pool layer. The same functions are abstracted from devices or software of all manufacturers. The resource pool layer comprises a plurality of resources independent of one another. The IaaS middleware uniform interface layer comprises a plurality of middleware interfaces composed of a plurality of resources, and each middleware interface provides a unique function. The MDC public function module layer comprises a plurality of public function modules composed of a plurality of middleware interfaces. By centralizing and automatically managing all service resources through a platform, the work efficiency is greatly improved, the resource utilization rate is greatly increased, and enterprises can respond to cloud calculation service requirements in a faster, more effective and low-cost mode.

The invention provides a cloud application deployment method and system. The method comprises the steps of acquiring deployment files of a target cloud application from a preset software repository, wherein the deployment files comprise a configuration file and a description file; parsing the description file to obtain deployment specification information of the target cloud application; generating a deployment template according to the configuration file and the deployment specification information; and deploying the target cloud application according to the deployment template. Through adoption of the method and system, according to different cloud application standard specifications and in different use scenes, the deployment files of the target cloud application are acquired so as to obtain corresponding deployment specification information, corresponding deployment template is generated, and then the target cloud application is deployed automatically, further, the target cloud application is deployed reliably and efficiently.

The embodiment of the invention provides an application service deployment method, device and system. The method includes the steps of receiving an application service deployment file, determining a corresponding server to be deployed, generating a verification file according to the application service deployment file, sending the application service deployment file to the server to be deployed, triggering the server to be deployed to deploy application service according to the application service deployment file, and verifying the version of the application service in the server to be deployed through the verification file. By means of the application service deployment method, device and system, the work efficiency is improved, and the verification accuracy is improved.

The embodiment of the invention provides a self-adaptive resource management method and device for distributed reinforcement learning training. The self-adaptive resource management method comprises the steps: giving a resource demand initial value to a newly-added training task according to task information when the newly-added training task is submitted; counting current distributed cluster resource supply residues, and judging whether new resources need to be derived or not; if so, determining the number and configuration of newly-added virtual machines, adding the newly-added virtual machines into the distributed cluster, and arranging newly-added training tasks according to a preset task arrangement process; and if not, arranging the newly-added training tasks according to the presettask arrangement process. For the self-adaptive resource management method and device for distributed reinforcement learning training, after the newly added training task is received, resource derivation is carried out according to the remaining condition of the distributed cluster resources, and then task arrangement is carried out or directly carried out, so that automatic deployment of the training task is realized, and the resource use cost and the labor cost of distributed reinforcement learning are remarkably reduced.

The invention provides an automatic updating method and device for a machine training model, computer equipment and a storage medium, and the method comprises the steps: monitoring a model training period in a configuration file, and triggering an updating task when the model training period is reached; performing training of a first machine learning model according to the updating task; when monitoring that training is completed, downloading the trained first machine learning model to a local directory; and updating the original machine learning model into the first machine learning model. Through the scheme of the invention, the machine training model generated by the model training end can be automatically provided for the client to call. Task information loaded by the model is set through an instruction and a configuration mode, a model training end is connected through a file server and a message queue mode, monitoring is achieved in the system, processing, packaging and reheatingdeployment are conducted after a new model is received, and therefore automatic deployment of the machine training model can be achieved.

The invention discloses a container cluster management method, device and system, electronic equipment and a readable storage medium. The method comprises the following steps: generating cluster specification description information by customizing a plurality of API objects as customized resources in a management cluster in advance; configuring a plurality of adaptive interfaces in advance, so that various types of cloud platforms operate and manage resources of a cluster through the corresponding adaptive interfaces; according to the cluster specification description information, automatically creating a corresponding workload cluster through a corresponding adaptive interface; and when monitoring that the target resource is changed, processing the target resource until the target resource reaches an expected state in the cluster specification description information. According to the invention, a plurality of different cloud platforms can be connected, and consistent and repeatable cluster deployment and life cycle management can be carried out in a plurality of infrastructure environments.

A method of deploying enterprise applications or updates to data processing systems in a complex data processing environment. The enterprise applications or updates are phase deployed to the target data processing systems. Phased deployment includes the steps of preparing one affected node, quiescing all affected servers in the node, stopping all affected servers in the node, synchronizing the node, delivering the applications or updates, starting all affected servers, reactivating all affected servers, restoring the affected node, and repeating these steps for each affected node one at a time until all targeted data processing systems have been affected.

The invention discloses a big data cluster automatic deployment system and method, and belongs to the technical field of computer software big data. The big data cluster automatic deployment system isbased on Ambari Blueprint and Ansible, Vue. Js and Flask form a front-end configuration interaction interface, Ambari and Ansible form a support for automatic installation of a rear-end service, andJenkins achieves task scheduling and log output. According to the automatic deployment system for the big data cluster, the installation and deployment speed of the big data cluster can be remarkablyincreased, the installation and deployment process of the big data cluster is greatly simplified, many problems caused by manual configuration are avoided, and the popularization and application valueis very high.

The embodiment of the invention discloses an application deployment method and a related device, and at least relates to private cloud, public cloud, hybrid cloud, artificial intelligence service andthe like in the cloud technology. Since a connection entry corresponding to a target application is recorded in a configuration template of the target application, when the target application needs tobe deployed in any target environment, the connection information type of the connection service middleware when the target application is operated can be identified based on the connection entry, according to the method, the connection information corresponding to the connection information type in the target environment is automatically acquired, and the configuration file of the target application deployed in the target environment is generated in combination with the configuration template, so that the target application is deployed in the target environment by utilizing the generated configuration file, automatic deployment of the target application in the target environment is realized, the problems of connection information conflict, inconformity with connection information provided by an actual application deployment environment and the like caused by configuring a configuration file required for deploying the application in a manual static configuration mode are avoided, andthe application deployment efficiency is improved.

The invention relates to an application system deployment method and device, a storage medium and an electronic device, and aims to improve the application system deployment efficiency. The application system deployment method comprises: determining whether a current operation environment of a target server meets a deployment condition of an application system or not; when the current running environment of the target server meets the deployment condition of the application system, a program file is sent to the target server, and the program file comprises a program file needed for deploying the application system on the target server; and by executing a preset script program, copying the program file to a target directory of the target server for installation, and executing a program included in the program file on the target server so as to complete deployment of the application system on the target server.

A management system for elastic compute service is disclosed, includes an infrastructure resource adaptation module, which is used for connecting with the northward service orchestration layer resource adaptation module and the southward IaaS layer infrastructure resource adaptation module, the resource scheduling and orchestration module, the northward service orchestration layer resource adaptation module, which is connected with the resource scheduling and orchestration module, the northward service orchestration layer resource adaptation module is used for providing resource scheduling interface adaptation for the resource scheduling and orchestration module, The southward IaaS layer basic resource adaptation module is connected with the IaaS basic resource layer, and the southward IaaS layer basic resource adaptation module is used for providing unified standard interface adaptation for access management of the IaaS basic resource layer from different sources. The elastic computing service management system provided by the invention realizes the simultaneous use of the managed class and the unmanaged class service, the system automatically switches, and the continuity of the service is ensured.

A compact collapsible squeegee for wiping fluids from smooth surfaces including a telescoping handle having a hinged joint at one end and a wiper support attached to the hinged joint to pivot from a closed position with the wiper support substantially parallel to the telescoping handle to an open position with the wiper support substantially perpendicular to the telescoping handle. Latches may be used to secure both the telescoping handle and the wiper support in the open position such that the squeegee is substantially rigid in use. Both the telescoping handle and the hinged joint may be spring-loaded to automate deployment of the squeegee to the open position. The telescoping handle and wiper support may be stored in the closed position within a hollow grip attached to the telescoping handle and including ventilation for drying.

The invention discloses machine vision technology-based surface mounted device PIN smoothness detection equipment, which comprises four parts, i.e. an optical system, a photographic system, an image acquisition card and a testing terminal, wherein the optical system cooperates with the photographic system to finish image acquisition work on a sample to be tested; the photographic system is used for transmitting original image data to the image acquisition card; the image acquisition card is used for processing the original image data into digital image data, and transmitting the data to the testing terminal; the testing terminal is used for processing and discriminating the digital image data, and outputting a corresponding testing result.

The invention provides an application automatic deployment method and device. Uploading and deployment can be realized. A developer does not need to apply for an independent HTTP (Hyper Text TransferProtocol) service container and does not need to manually deploy, release and start an HTML5 application. The method comprises the steps of storing an externally uploaded program package of the HTML5application through utilization of an HTML5 resource storage center and storing uploading information of the program package of the HTML5 application; generating a URL of the HTML5 application according to the uploading information of the program package of the HTML5 application and releasing the URL; and judging whether the program package of the HTML5 application is downloaded or not in an HTTPservice container after an access request of the HTML5 application is received, and downloading the program package of the HTML5 application from the HTML5 resource storage center if the program package of the HTML5 application is not downloaded, and decompressing the program package to the HTTP service container, thereby finishing deploying the HTML5 application, and directly returning a responseresult of the access request of the HTML5 application through the HTTP service container if the program package of the HTML5 application is downloaded.

The invention discloses an algorithm model deployment online method and device, and relates to the technical field of computers. A specific embodiment of the algorithm model deployment online method comprises the following steps: reviewing a to-be-deployed algorithm model, merging the algorithm model into a to-be-deployed service architecture after the algorithm model passes the reviewing, and generating a pre-sent version package; carrying out model verification on the pre-issued version package through a pre-issued test environment; and realizing online deployment of an algorithm model basedon the verified pre-sent version package. According to the implementation mode, the algorithm model and the service architecture are decoupled, and automatic agile online of the algorithm model can be realized, so that the algorithm model of the recommended prediction service is updated in time, and the online process is simple, and the online efficiency is high, and the risk is low.

The invention discloses an ultra-high voltage transmission line on-line monitoring system based on micro-service, which belongs to the field of transmission line on-line monitoring systems, adopts a micro-service layered architecture and comprises line monitoring equipment, interface equipment, a database, a server and machine room management equipment; the line monitoring equipment collects statedata of the ultra-high voltage power transmission line, transmits the state data to the database through the interface equipment for storage and management, and executes a control action of the linemonitoring equipment. The server calls the data of the database to divide independent processes, and state data acquisition, equipment control and parameter adjustment are carried out respectively; and the machine room management equipment performs configuration management on the server, establishes a link relationship and scheduling management between the independent processes, and provides a communication mechanism between the independent processes and a unified service calling interface. According to the invention, the problems of poor communication stability caused by numerous communication devices and complex maintenance caused by numerous system interfaces of the existing power transmission line monitoring system are solved.

The invention discloses an HDP platform deployment method, device and equipment based on kubernetes and a readable storage medium, and the method comprises the steps: generating a basic mirror image of a service module in an HDP platform through a docker file, wherein the basic mirror image comprises an ambari service; obtaining a yaml file generated according to a configuration operation of a user on the service component; and building a kubernetes service in the target server, and loading the basic mirror image and the yaml file by utilizing the kubernetes service so as to realize the deployment of the HDP platform. According to the invention, the docker file is used to construct the basic mirror image according to the basic service ambari and the HDP related service component; yaml files of all the service components are dynamically generated through configuration before installation, finally automatic deployment of the HDP platform is achieved based on kubernetes, and the deployment efficiency of the HDP platform is remarkably improved.

The invention discloses a method and a device for realizing virtual network feature (VNF) deployment. The method comprises steps of pre-establishing a mapping relationship between a VNF service role model and an automated configuration command, installing an automated deployment proxy on the cloud host and performing registration with regard to a cloud host required to deploy a VNF instance, and converting a received VNF deployment command into an automated configuration command and executing the command so as to realize VNF deployment according to the pre-established mapping relationship and with regard to a deployed cloud host. According to the technical scheme provided by the invention, through pre-arranged mapping relationships between different types of VNF services, roles, relationship models and instantiation scripts and automated configuration commands, and by using simple operations of an automated configuration tool, automated deployment of large numbers of VNFs can be realized.