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38 results about "Deployment time" patented technology

Deployment policy for software updates across cloud environments driven by artificial intelligence

A data processing system includes a processor and a memory for the processor. The memory stores executable instructions that, when executed by the processor alone or in combination with other processors, cause the data processing system to perform functions of: receive a deployment request to deploy a software change; determine factors corresponding to the deployment request that impact an optimal deployment policy for the software change; query an Artificial Intelligence (AI) trained with a dataset of optimized deployment policies based on corresponding sets of the factors, the query requesting an optimized deployment policy for the software change of the received deployment request based on the determined factors and including a ring rollout policy, ring bake time and deployment time; execute the deployment request using the optimized deployment policy returned by the AI; and update training of the AI based on the determined factors and results of the optimized deployment policy.
Owner:MICROSOFT TECHNOLOGY LICENSING LLC

Multi-cloud certificate deployment intelligent arrangement engine system and method

The invention relates to the technical field of cloud computing, and discloses a multi-cloud certificate deployment intelligent arrangement engine system, which comprises a unified abstraction layer used for providing a standardized certificate deployment interface; the intelligent arrangement engine is used for analyzing a deployment task dependency relationship and generating an optimal deployment path; the distributed transaction management module is used for coordinating deployment transactions of the cross-cloud platform and ensuring the consistency of operation; and the strategy optimization and learning module is used for optimizing the deployment strategy based on the historical deployment data. According to the method, the cloud platform difference is shielded through the unified abstraction layer, the consistent deployment experience is provided, and the adaptation workload in the multi-cloud environment can be remarkably reduced; the deployment path is optimized through the intelligent arrangement engine, so that the deployment time can be remarkably shortened; through distributed transaction management, transaction consistency of cross-cloud deployment is ensured, and strong fault recovery capability is provided. Through multi-objective optimization and online learning, the system can automatically balance the cost, the performance and the reliability, so that the resource utilization rate is greatly improved.
Owner:BEIJING TIANWEI CHENGXIN ELECTRONIC COMMERCE CO LTD

Test environment deployment method and device, medium and program product

The embodiment of the invention provides a test environment deployment method and device, a medium and a program product, and relates to the technical field of hardware-in-loop testing. The method comprises the following steps: acquiring a test requirement and a template library, wherein the template library comprises an environment configuration template and a parameter rule; generating environment configuration based on the test requirement and the template library, wherein the environment configuration comprises an operating system version, a network parameter and a resource allocation parameter; and deploying a test environment according to the environment configuration, wherein the test environment is used for hardware-in-the-loop test. Based on the method, the test environment deployment process can realize high automation, the probability of errors caused by manual operation is reduced, and the deployment reliability is improved. And the test requirements can be dynamically adapted, the environment consistency and the resource utilization rate are improved, rapid generation and parameter optimization of the test environment are realized, the deployment time consumption is reduced, and the test environment deployment efficiency and the overall test efficiency are improved.
Owner:STARRY SKY PLAN (SHANGHAI) AUTOMOBILE TECHNOLOGY CO LTD

A method for BIOS automated deployment on bare metal server

ActiveCN115934176BBootstrappingEnergy efficient computingBare metalDeployment time
The application discloses a kind of about bare machine server BIOS automation deployment method, it is related to automation programming technical field, bare machine server carries out BMC management port initialization configuration, opens BMC setting Https (web), SSH, Redfish and IPMI service agreement, by bare machine server SSH, Redfish and different equipment special tool, from bare machine server BMC management port call relevant protocol, by system automatic judgment uses what protocol or tool is directed to different manufacturer's bare machine server and carries out BIOS data acquisition.The application is by system automatic judgment uses what protocol or tool is directed to different manufacturer's bare machine server and carries out BIOS data acquisition, multiple data acquisition protocols are used simultaneously, by system automatic determination uses data acquisition method, ensure that the most complete BIOS configuration item parameter is obtained, reduce manual participation manual data acquisition, by using BIOS template packing and encapsulating automation deployment method, unified generation standardization BIOS template, by system automatic deployment, without manual participation, speed up deployment time.
Owner:GUANGZHOU HEMING SOFTWARE TECH CO LTD

A method and apparatus for feasibility assessment

ActiveCN116669047BDeployment timeOperations research
The embodiment of the present application provides a method and device for feasibility evaluation, which introduces at least one of the following information when the control device sends the first information for requesting the execution device to perform the feasibility evaluation on the first network demand information: the reservation demand information of the network resource corresponding to the first network demand information, the information feedback demand information of the network resource corresponding to the first network demand information, and the modification suggestion feedback demand information of the first network demand information. Through the above method, the operator can reserve the required network resource, feed back the network resource of the service demand and provide the change suggestion for the service demand while performing the feasibility evaluation on the service quality, so that the application scenario of the feasibility evaluation is effectively widened, the success rate of the service issuing is further improved, and the service deployment time is reduced.
Owner:HUAWEI TECH CO LTD

A model scheduling method, system and electronic device

The application discloses a model scheduling method and system and electronic equipment, and relates to the technical field of artificial intelligence. When model deployment is needed, a first model scheduling instance is used to realize rapid deployment of a target model. In the process of responding to a model calling request of the target model based on the first model scheduling instance, if the target model enters a high load mode, that is, a hot state switching condition is met, the target model is deployed based on a second model scheduling instance, and after the second model scheduling instance completes the deployment of the target model, the model calling request of the target model is responded to based on the second model scheduling instance. In this way, the model deployment time is shortened, and the utilization rate of model calculation resources is improved.
Owner:INSPUR SUZHOU INTELLIGENT TECH CO LTD

Multi-dimensional performance evaluation method and system for computing power server

ActiveCN121210274AHardware monitoringEvaluation resultDeployment time
The invention discloses a multi-dimensional performance evaluation method and system for a computing power server, and relates to the field of server performance data analysis. According to the multi-dimensional performance evaluation method and system for the computing power server, existing computing power server resources are constructed into a single server system, a server cluster system and a server distributed system; selecting a server system most suitable for running the task according to the characteristics of the test task, and selecting an optimal value from four dimension indexes of deployment time consumption, running time consumption, upgrading time consumption and unloading time consumption to evaluate the performance of the existing computing power server; comprehensiveness of performance testing and full utilization of existing resources are achieved, and the final evaluation result can reflect the optimal performance state which can be achieved under the existing computing power server resource condition; and the accuracy of the performance test is improved.
Owner:BEIJING ALLIANZ TECH CO LTD +1

Business system automatic deployment method, device, equipment and medium

PendingCN121478300AVersion controlEnergy efficient computingDeployment timeServer
The invention provides an automatic deployment method and device for a service system, equipment and a medium, and relates to the technical field of automatic deployment, and the method comprises the steps: reading and executing a deployment script; the deployment script at least comprises an infrastructure service deployment sub-script, a running environment deployment sub-script and a business system deployment sub-script; calling an infrastructure service deployment sub-script, and setting a basic environment required by the operation of the bearing service system on the target server to form at least one virtual machine; calling a running environment deployment sub-script, and setting services required for running the business system on each virtual machine; and calling the service system deployment sub-script, and setting functions provided by the operation of the service system on the Kubernetes cluster to complete the deployment of the service system. According to the technical scheme, one-key automatic deployment is completed through the script integration deployment step, the deployment time is greatly shortened, the deployment delivery efficiency is improved, and then the operation and maintenance cost is reduced.
Owner:BEIJING SHUYAN TECH CO LTD

A multi-dimensional performance evaluation method and system for a computing power server

ActiveCN121210274BHardware monitoringEvaluation resultDeployment time
This invention discloses a multi-dimensional performance evaluation method and system for computing servers, relating to the field of server performance data analysis. By constructing existing computing server resources into single server systems, server cluster systems, and distributed server systems, this invention selects the most suitable server system for running the test task based on its characteristics during performance testing. It then evaluates the performance of existing computing servers by selecting the optimal value from four dimensions: deployment time, running time, upgrade time, and uninstallation time. This achieves comprehensive performance testing and full utilization of existing resources, ensuring that the final evaluation results reflect the best performance achievable under existing computing server resource conditions, thus improving the accuracy of performance testing.
Owner:BEIJING ALLIANZ TECH CO LTD +1

Serial number generation for stateless cloud certificate authority

A system associated with a public key infrastructure certificate framework in a cloud computing environment may include a certificate authority data store that contains information about a plurality of certificate authority instances (with each certificate authority instance being associated with an instance index and an instance deployment time). A certificate authority server, coupled to the certificate authority data store, may retrieve an instance index and instance deployment time from the certificate authority data store. The certificate authority server may then determine a current certificate identifier generation timestamp. A unique certificate identifier for a public key certificate is generated by the certificate authority server based on a deterministic creation algorithm, the instance index, the instance deployment time, and the certificate identifier generation timestamp. The public key certificate can then be issued using the unique certificate identifier.
Owner:SAP SE

A real-time virtual machine deployment method and system based on a buffer queue ant colony algorithm

ActiveCN120723375BDeployment timeOptimal deployment
The present application relates to cloud computing resource scheduling technical field, especially in a kind of real-time virtual machine deployment method and system based on buffer queue ant colony algorithm, comprising: complete computing period is divided into several sub-periods, each sub-period includes scheduling time period and deployment time period;In scheduling time period, the optimal deployment result of current sub-period is solved using buffer queue ant colony algorithm;In deployment time period, according to the optimal deployment result of current sub-period, virtual machine is deployed.The present application can significantly reduce the number of working servers in different scale scenarios and improve resource utilization, effectively solve the energy consumption optimization and resource balance problem under the real-time load of cloud computing.
Owner:JIANGNAN UNIV

Cloud-edge collaborative time series data timeline alignment method, system, device and medium

This application provides a method, system, device, and medium for aligning time-series data in a cloud-edge collaborative manner, belonging to the field of cloud-edge collaboration technology. The method includes deploying a time-series generation microservice in the cloud or on a central server; constructing multiple edge acquisition and storage integrated microservices for various data acquisition protocols and deploying them to corresponding edge hardware devices; each edge acquisition and storage integrated microservice collecting time-series data from industrial IoT devices; subscribing to a unified time-series message; the time-series generation microservice sending a message containing a unified timestamp and storage instructions to the edge acquisition and storage integrated microservice via a message queue; comparing the message with the local timestamp; if the timestamp difference is within the allowable error range, formatting the collected time-series data using the unified timestamp and storing it in a database; if it exceeds the allowable error range, executing a preset error handling process. This application's technical solution can solve the problem of low time-series alignment efficiency in high-frequency, multi-location scenarios with large data volumes.
Owner:INSPUR GENERSOFT CO LTD

Service warehouse storage and reference method and system based on componentization mode

The application relates to the technical field of data processing, and discloses a service warehouse storage and reference method and system based on a componentization mode, a double-track view warehouse containing a template view warehouse and a standard view warehouse is constructed, a development requirement set is generated by extracting a time period and content requirement of a development task, a benchmark data set is established based on component deployment information of a previous period, an optimal storage and reference strategy is solved by combining storage, dependency and scheduling quantity constraints and taking the minimum service component deployment times as the target, and finally, the double warehouse is controlled to execute storage and reference, so that efficient management of the componentized service warehouse is realized. Therefore, through the setting of the double-track view warehouse, the application can effectively solve the component scheduling confusion problem caused by limited warehouse storage, dynamic component requirement change and complex dependency relationship in the MBSE development, realize fine planning and efficient reuse of component storage, reduce resource consumption of component update scheduling, and improve cross-team development efficiency.
Owner:GHOSTCLOUD

Method for releasing server program by one key

The invention discloses a method for releasing a server program by one key, which realizes full-process automatic release through cooperation of six core modules: an interactive trigger module supports multi-end triggering of a Web interface, an API interface and a command line, provides lightweight operation only needing eight core configurations, and supports historical configuration multiplexing and network interrupt caching; the configuration analysis and verification module is used for presetting multiple types of application analysis rules, executing multi-level verification of a basic format, service logic and resource availability, and providing an automatic correction suggestion when verification fails; the environment adaptation and resource scheduling module remotely detects server hardware, software and network states, automatically adapts to scripts corresponding to an operating system and an application type, allocates resources through a weighted polling algorithm, and supports cross-regional network optimization; the real-time monitoring and feedback module collects logs and state indexes in a second level. The whole release process is free of manual intervention, the deployment time consumption is remarkably shortened, and the error rate is reduced to a low level.
Owner:BESTTONE HOLDING

Big data real-time computing component deployment and operation method and system

The invention mainly provides a big data real-time computing component deployment and operation method and system. The method comprises the steps that computing resource tenants are isolated, and a user configures Flink cluster parameters through a graphical configuration interface; after the platform receives the Flink cluster parameters, a resource list meeting the Kubernetes standard is dynamically generated in combination with a preset template library and a tenant strategy rule, and an interface packaged based on a Kubernetes API is called to complete deployment; after the cluster is started, Flink operation is continuously monitored and early warned, and the number of TaskManager instances is dynamically adjusted through an intelligent elastic telescopic controller according to the real-time load. According to the technical scheme, the deployment time can be shortened to the minute level, the universality and the transverse expansion capacity of the system are remarkably enhanced, an independent operation and maintenance system is prevented from being repeatedly constructed for each engine, complete monitoring during operation, abnormal early warning and an intelligent elastic expansion mechanism are integrated, and a closed-loop autonomous operation and maintenance system is constructed.
Owner:SUPCON TECH CO LTD

Deployment control of cloud resources

Techniques for controlling resource deployment in a cloud partition of a cloud environment are disclosed. A cloud service provider (CSP) operates a cloud environment in which its customers may specify constraints for deployment of their respective partitions (i.e., regions or domains). The partition-specific deployment constraints are rules that constrain changes / updates that may be made to one or more particular partitions. The partition-specific deployment constraints are applicable to at least one partition, but may be applicable to multiple partitions. For example, partition-specific deployment constraints may be applied to one or more regions in the domain. The partition-specific deployment constraints are evaluated when deployed using the latest state of at least one particular partition or a selected subset thereof. The global deployment orchestrator causes the deployment to depend at least in part on whether the deployment satisfies the partition-specific constraint (s) in the target partition.
Owner:ORACLE INT CORP

Rapid regional self-adaptive ACM method based on meta-learning

PendingCN121814177Aadapt quicklyExcellent decision-making performanceRadio transmissionTransmission monitoringAdaptive encodingDeployment time
The invention discloses a fast regional self-adaptive ACM method based on meta-learning, and belongs to the technical field of low-orbit satellite communication. Aiming at the technical problems of dependence on a large amount of local data, long debugging period, unstable performance and the like during cross-region deployment of the existing adaptive coding modulation technology, the method comprises the following steps of: constructing a meta-training task set covering various global climate characteristics, and training to obtain a meta-initial model with strong generalization ability; when a ground station is deployed in a new region, an optimized localized ACM strategy can be quickly adapted through several steps of gradient updating by using a very small amount of initial communication data collected by the station. Simulation results show that the method only needs 30 samples and 2-minute fine tuning to achieve the approximate optimal performance, the spectrum efficiency is improved by 35.8% compared with a traditional fixed threshold value method, the sample demand is reduced by 99% and the deployment time is shortened by more than 98% compared with a supervised learning method, the regional self-adaption problem in global rapid deployment of the satellite communication system is effectively solved, and the method has good application prospects. And the operation cost is obviously reduced.
Owner:THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION

Model scheduling method and system and electronic equipment

The invention discloses a model scheduling method and system and an electronic device, and relates to the technical field of artificial intelligence. When model deployment needs to be carried out, a first model scheduling instance is adopted to realize rapid deployment of a target model, and in the process of responding to a model calling request of the target model based on the first model scheduling instance, rapid deployment of the target model is realized; if the target model enters the high-load mode, that is, the thermal state switching condition is met, deploying the target model based on the second model scheduling instance, and responding to the model calling request of the target model based on the second model scheduling instance after the deployment of the target model is completed by the second model scheduling instance, so that the model deployment time is shortened, and the deployment efficiency of the target model is improved. And the utilization rate of model computing resources is improved.
Owner:INSPUR SUZHOU INTELLIGENT TECH CO LTD

MES dynamic deployment method and system based on containerization

The invention relates to the technical field of computer system deployment, in particular to a containerization-based MES dynamic deployment method and system, and the method comprises the steps: obtaining a task number and a workshop section state to judge a deployment limit, screening a deployable container to generate a trigger mark, combining a scheduling dense state and a resource utilization rate to calculate a weight factor, and dynamically allocating CPU and memory resources to generate a deployment result. In the invention, by introducing a containerization-based dynamic deployment mechanism, real-time joint judgment of a task state and a working section operation condition in a production line process can be realized, a deployment action is ensured to be only performed under an execution condition, conflicts caused by improper deployment opportunities are effectively avoided, and by analyzing a sequence trend of a deployment window state, a real-time deployment result is obtained. The integration degree of deployment operation and the production line rhythm is improved, dynamic balance of resource allocation is achieved by collecting CPU occupation and memory utilization rate during container running and combining task scheduling intensity to construct a modulation factor, and the containers are made to be better matched with task load characteristics in the resource supply process.
Owner:MAIAIMU (ZHENGZHOU) TECHNOLOGY CO LTD

Reducing deployment time for container clones in computing environments

Deployment times for container clones may be reduced by implementing some examples described herein. In one example, a system can receive a container snapshot including runtime data for a software service executed inside a container at a prior point in time. The system can deploy a template container from the container snapshot at least in part by assigning a memory region to the template container and loading the runtime data from container snapshot into the memory region. The system can freeze the template container to prevent modification of the runtime data in the memory region. While the template container is frozen, the system can deploy a container clone using the runtime data in the memory region, such that the container clone includes the software service in at least a substantially ready state by default based on the runtime data.
Owner:RED HAT INC

Conflict mitigation method for artificial intelligence modules, network device, and readable storage medium

ActiveCN119383094BTransmissionDeployment timeEngineering
The application provides a conflict mitigation method of an artificial intelligence module, a network device and a readable storage medium, and relates to the technical field of communication. A method executed by a first network device comprises the following steps: when the first network device needs to deploy a first artificial intelligence (AI) decision module, acquiring performance change data corresponding to all AI decision modules from a second network device; determining first information according to the performance change data; the first information is used to indicate whether the second network device trains a target AI decision module; the target AI decision module is part of the all AI decision modules; sending a training request to the second network device; the training request at least carries a first number of the first network device, a second number of the target AI decision module and the first information. According to the scheme of the application, the number and time of joint training can be reduced, and the energy consumption and deployment time can be reduced.
Owner:CHINA MOBILE COMM LTD RES INST +1

A method, apparatus, device and storage medium for volume operation

The application relates to a volume operation method, device, equipment and storage medium. Main technical solutions comprise the following steps: generating first bitmap information according to storage information of data in at least one data block in a source volume, creating a target volume of the source volume, performing a capacity expansion operation on the target volume to obtain an expanded target volume, generating second bitmap information according to storage information of data in the data block in the expanded target volume, copying data in the source volume into the expanded target volume according to the first bitmap information and the second bitmap information, and completing cloning operation of the source volume to obtain a final target volume. After the capacity expansion of the target volume is completed, the data in the source volume is copied into the expanded target volume according to the bitmap information, and the expanded target volume can also be used in the data copying process, so that a user does not need to wait for a long time for the data to be completely copied into the expanded target volume, business deployment time is saved, business deployment efficiency is improved, and user experience is improved.
Owner:INSPUR SUZHOU INTELLIGENT TECH CO LTD

Space ground resource networking cloudification implementation method based on NFV and SDN technology

The application provides a space ground resource networking cloud implementation method based on NFV and SDN technology. By combining the control and arrangement center with station-level control and arrangement, the access station front end and resource pool can execute space TT&C tasks according to the task requirements of space TT&C tasks, and can also dynamically allocate resources such as baseband and signal processing according to the needs of measurement and operation control business. Secondly, combined with software-defined network, the processing capacity of heterogeneous or remote devices can be flexibly combined according to the needs, thereby solving the problems of tight coupling of software and hardware, high degree of closure, low system flexibility, long business deployment time and high operation cost under the traditional "chimney" type space ground station structure.
Owner:10TH RES INST OF CETC

Test environment deployment method and device, equipment and storage medium

This application discloses a test environment deployment method, apparatus, device, and storage medium, relating to the field of big data processing technology. The test environment deployment method includes: acquiring task information of a test environment deployment task configured via Jenkins; wherein the task information includes a set of machine information for which the test environment needs to be deployed, a deployment time, and test environment information; the machine information set includes machine information corresponding to multiple machines; executing a test environment deployment task on each machine based on the machine information set and the test environment information at the deployment time; acquiring deployment result information of the test environment deployment task for each machine; and displaying the deployment result information of the test environment deployment task for each machine. Using the test environment deployment method provided in this application can improve the efficiency of test environment deployment.
Owner:CHINA CONSTRUCTION BANK +1

Robot firmware and docker image integrated burning method and system

The application discloses a kind of robot firmware and Docker image integrated programming method and system, it is related to embedded device production manufacturing technical field, steps are as follows: build Docker image;Independent partition is divided in the storage medium of target platform, and independent partition is configured operating system mounting;When target device has deployed Docker image and independent partition has stored Docker data, the content of independent partition is converted into file system image;The file system image and existing system partition image are packaged, and system firmware image is generated;System firmware image is written into the storage medium of target device once, and target device is started to complete Docker engine loading and image deployment.The application realizes the firmware level integration programming of firmware and container environment and out-of-box deployment, solves the problems of low production efficiency, complex process, poor deployment consistency and other problems caused by firmware programming and Docker image separate deployment, shortens deployment time, simplifies production process and improves deployment consistency.
Owner:SUZHOU WANDIANZHANG NETWORK TECH CO LTD

Disaster weather under micro-grid power protection unit blind state execution method

ActiveCN122052334BTelecommunications linkDeployment time
The present application relates to the technical field of disaster prevention and mitigation of power distribution network, and discloses a blind state execution method of power protection unit of micro-grid under disaster weather, which comprises determining a deployment time window by using the predicted interruption time of public network communication link and the total deployment time required by the deployment of instruction package; wherein the total deployment time is greater than or equal to N times of the minimum deployment time; storing the instruction package in the local storage within the deployment time window; when the public network communication link is interrupted, each node reads and executes the blind state instruction; if the interruption occurs before the beginning of the storage of the instruction package or in the storage process, each node reads and executes the second blind state instruction stored locally; otherwise, each node reads and executes the first blind state instruction in the instruction package. The blind state execution method of power protection unit of micro-grid under disaster weather can execute different blind state instructions according to the deployment completion condition after communication interruption, so as to ensure that the power protection unit can still operate according to the blind state instruction under the state of no communication.
Owner:STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY +3

Blind state execution method for power protection unit of power distribution micro-grid in disaster weather

The invention relates to the technical field of disaster prevention and reduction of a power distribution network, and discloses a blind state execution method for a power protection unit of a power distribution micro-grid in disaster weather, which comprises the following steps: determining a deployment time window according to the predicted interruption moment of a public network communication link and the total deployment time required by instruction packet deployment; wherein the total deployment time is greater than or equal to N * the minimum deployment time; in the deployment time window, storing an instruction packet in a local memory; when the public network communication link is interrupted, reading and executing the blind state instruction by each node: if the interruption occurs before or in the storage process of the instruction packet, reading and executing a locally stored second blind state instruction by each node; and otherwise, reading and executing the first blind state instruction in the instruction packet by each node. According to the blind-state execution method for the power protection unit of the micro-grid in the disaster weather, different blind-state instructions are executed in a graded mode according to the deployment completion condition after communication is interrupted, so that it is ensured that the power protection unit can still operate according to the blind-state instructions in the non-communication state.
Owner:STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY +3

System, method, and computer program for dynamic rendering of UI components

PendingUS20260195147A1Deployment timeSoftware engineering
A system, method, and computer program for dynamically rendering user interface (UI) components without requiring code changes are provided. A server receives layout specifications and a UI design for a UI component, extracts layout and UI metadata, and publishes the metadata with a timestamp to a cloud-based repository accessible by client applications. The client applications periodically check for updated metadata and, if newer metadata is found, download it to their local repositories. When a client application receives a page feed referencing a UI component, the application's rendering engine dynamically renders the component using the locally stored metadata. Because the UI component presentation is driven by metadata rather than static code, changes made at the design level are instantly reflected in the client applications, significantly reducing development overhead and deployment time.
Owner:RAKUTEN GROUP INC

A method for automating deployment of a data plane of a network element

ActiveCN119814540BTransmissionDeployment timeDistributed computing
The application provides a method for automatically deploying a data plane of a network element, and relates to the technical field of automatic operation and maintenance, and aims to solve the problem of long deployment time in the scene of complex deployment steps of the existing cloud computing network element server data plane and large number of network elements. The method comprises the following steps: writing a deployment instruction according to a deployment task; obtaining information of each network element server under a cluster from a configuration file, and establishing a target connection with each network element server according to the information; generating a temporary deployment script according to the deployment instruction, and sending the temporary deployment script to each network element server under the cluster through the target connection, so that the network element server executes the temporary deployment script to realize configuration deployment, and the temporary deployment script is used to realize the function corresponding to the deployment task.
Owner:CHINA TELECOM CLOUD TECH CO LTD