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53 results about "Deployment time" patented technology
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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
An industrial middle platform and edge computing-based device monitoring and prediction method and system
The application discloses a kind of equipment monitoring prediction method and system based on industry middle platform and edge computing, the system uses monitoring acquisition unit and real-time collection equipment vibration, temperature and current data, is analyzed by innovative three-layer prediction architecture: edge layer is deployed lightweight threshold rule model and carries out real-time anomaly detection, middle platform layer is deployed XGBoost model and executes trend analysis, cloud layer is deployed time convolution network model and realizes depth time series analysis, and corresponding hierarchical early warning mechanism is established.The application solves the technical problems, such as that early warning mechanism is not intelligent enough in traditional equipment monitoring, prediction model is single, data preprocessing is not perfect enough and the like.Through the cooperative cooperation of three-layer prediction architecture, all-around monitoring is realized, system response delay is reduced, and early warning accuracy is improved;Through the combination of hierarchical early warning mechanism and parameter correlation analysis, system reliability is enhanced, and equipment operation and maintenance efficiency is improved;Edge computing mode is used, and network bandwidth demand is effectively reduced.
Owner:GUANGZHOU HUITONG GUOXIN TECH CO LTD
Multi-cloud certificate deployment intelligent arrangement engine system and method
PendingCN121441507AUser identity/authority verificationBiological modelsDeployment timeOnline learning
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
Multi-server quick deployment method and device, electronic equipment and storage medium
The invention provides a multi-server quick deployment method and device, electronic equipment and a storage medium, and the method comprises the steps: analyzing a configuration file to determine a target server needing to deploy an application system and a deployment sequence; generating an incremental package of the application system; fragmenting the incremental packet, and calculating a concurrent quantity; judging whether the target server is ready or not; and if the target servers are ready, sending the fragmented incremental packets to a plurality of concurrent target servers according to a deployment sequence, so that the target servers deploy the application system. According to the scheme, the target server to be deployed and the deployment sequence are determined through the configuration file, and the incremental package of the application system is fragmented. The fragmented incremental packages are sent to the multiple ready target servers in a concurrent mode, so that the target servers deploy the application systems, the deployment time consumption of the servers is reduced, and the deployment efficiency is improved.
Owner:INSPUR ENTERPRISE CLOUD TECHNOLOGY (SHANDONG) 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
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
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
Efficient software release management and deployment
A method performed by one or more computers for managing software distribution, comprising assigning computing devices into batches based on a plurality of criteria, including a software environment and a virtual machine cluster; obtaining a deployment schedule that associates each software release with a deployment date for each batch; generating a release scope list that indicates, for each computing device, an associated user account and a local deployment time from the deployment schedule; resolving conflicts in the deployment schedule to generate an updated deployment schedule based on the release scope list; deploying one or more software releases to the computing devices; transmitting a script to one or more of the computing devices, instructing determining a current status of any user account logged into the computing device and a message display type based on the current status, the message enabling installation of a software release of the one or more software releases.
Owner:MORGAN STANLEY SERVICES GROUP INC
File deployment method and computing device
Owner:HENAN KUNLUN 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
A cross-platform operating system upgrade patch automatic deployment method and system
This invention discloses a cross-platform operating system upgrade patch automatic deployment method and system, relating to the field of operating system patch management technology. The method includes analyzing patch dependencies and dynamically adjusting the deployment order; performing isolated deployment based on containerization technology; and real-time monitoring of the status of each container, providing real-time monitoring and feedback optimization of the deployment results. The method described in this invention achieves precise control over patch deployment in complex heterogeneous environments, reducing the failure rate caused by dependency conflicts, while also reducing deployment time, improving system stability and reliability, ensuring the independence of patches, and avoiding system crashes due to patch incompatibility or failure. While improving deployment efficiency, it achieves efficient container isolation and a highly compatible patch deployment process, enhancing the system's autonomous adaptability and long-term stability, and providing strong technical support for complex and ever-changing patch deployment scenarios.
Owner:GUIZHOU POWER GRID CO LTD
Multi-dimensional performance evaluation method and system for computing power server
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
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
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
PendingUS20260058797A1Key distribution for secure communicationUser identity/authority verificationTimestampDeployment time
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
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
ActiveCN120910166BProgram initiation/switchingMulti-dimensional databasesDeployment timeService component
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
Distributed computing dependency management system
The present disclosure relates to a distributed computing dependency management system. Various methods and systems for implementing dependency management for infrastructure are provided. A dependency service manager of the dependency management system includes multiple dependency management system components that facilitate automatic discovery and analysis of data to generate dependency data. The dependency data includes dependencies and subordination relationships of dependency service tenants as tenant services of the infrastructure. The dependency data is generated based on data retrieved by multiple collectors. The collectors from the multiple collectors are agents that retrieve data associated with the dependency service tenants based on corresponding collection time attributes of the collectors. The collectors access the data used to generate the dependency data at one of the following collection times: design time, deployment time, and runtime. The generated dependency data is then stored in a data repository and transmitted to a dependency service interface for users to access the dependency data.
Owner:MICROSOFT TECHNOLOGY LICENSING LLC
A one-button switching method for training environments with different training contents
The present invention discloses a one-click switching method for training environments with different training contents, comprising: step 1, course optimization and arrangement, according to the training task requirements, based on preset training course knowledge rules, constructing a training course switching time matrix to optimize course arrangement; step 2, background resource reorganization, according to the course sequence and content, the background relies on application clusters, container scheduling and data source switching technologies to quickly establish and arrange background services and dynamically reorganize data resources; step 3, foreground application arrangement, according to the relationship between users, permissions and software, using lightweight client integration technology to integrate and arrange foreground applications. This method realizes one-click rapid switching of training content and dynamic reorganization of training resources, reduces the time for setting up and deploying the training environment and the waiting time of personnel during the conversion of different training courses, and greatly improves training efficiency and effectiveness.
Owner:THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
A micro-service deployment method and system in an edge cloud environment
The application discloses a micro-service deployment method and system in an edge cloud environment, relates to the field of micro-service deployment, and aims to reduce the total cost of micro-service deployment in a cloud native environment.Under the limitation of node resources, a plurality of deployment models for respectively deploying each micro-service required by an application program to a plurality of given nodes are constructed, at least two micro-services with a shared layer are deployed to the same node for each deployment model, and a deployment scheme is solved by a genetic algorithm based on the constructed deployment model and with the minimum total deployment cost as the target.The application can effectively reduce the deployment cost, deployment time and communication cost of the micro-service, and the solving efficiency of the deployment scheme is high.
Owner:XIDIAN UNIV
Method for releasing server program by one key
PendingCN121957614Areduce duplicationImprove publishing efficiencyResource allocationInterprogram communicationArea networkOperational system
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
PendingCN121785710AResource allocationSoftware simulation/interpretation/emulationDeployment timeDatabase
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
Service warehouse storage and reference method and system based on modularization mode
ActiveCN120910166AProgram initiation/switchingMulti-dimensional databasesDeployment timeService component
The invention relates to the technical field of data processing, and discloses a service warehouse storage and reference method and system based on a modularization mode, and the method comprises the steps: constructing a double-track view warehouse comprising a template view warehouse and a standard view warehouse, extracting the time period and content demands of a development task, and generating a development demand set; a reference 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 with the purpose of minimizing service component deployment times, and finally double warehouses are controlled to execute storage and reference, so that efficient management of the componentized service warehouse is realized. Therefore, through the arrangement of the double-track view warehouse, the problem of component scheduling disorder caused by limited warehouse storage, dynamic component demand change and complex dependency relationship in MBSE development can be effectively solved, refined planning and efficient multiplexing of component storage are realized, resource consumption of component updating scheduling is reduced, and cross-team development efficiency is improved.
Owner:GHOSTCLOUD
Model scheduling method and system and electronic equipment
ActiveCN121070571AProgram initiation/switchingResource allocationDeployment timeDistributed computing
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
InactiveCN121166278AResource allocationSoftware simulation/interpretation/emulationContainerizationProduction line
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
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