348 results about "Distributed services" patented technology

The invention provides a network service acceleration method and system applied to a security transaction service platform, and the method comprises the steps: firstly obtaining a security transaction request set sent by a user terminal in a transaction period, enabling each transaction request unit to comprise a request type identifier, a timestamp and content data, and then carrying out the classification according to the request type identifier to generate a priority queue, the method comprises the following steps: determining a queue ordering rule according to a timestamp, dynamically screening a proper service node group from a pre-established distributed service node cluster, mapping and binding the proper service node group with a priority queue, distributing request units to corresponding service node groups in batches according to the ordering rule to execute transaction operation, generating a response data packet, and returning the response data packet to a user terminal. And when the service node group executes the operation, the load state parameters are updated in real time and synchronized to the global load monitoring module, so that the network service acceleration performance of the security transaction service platform is effectively improved, and efficient transaction is ensured.

The invention provides a distributed service intelligent master selection method and system based on double-engine cooperation, and relates to the technical field of intelligent master selection, and the method comprises the steps: collecting the processing capability index, the network throughput and the resource utilization rate of a service node to construct a performance data matrix, and generating an intelligent identification code based on a node scoring function and a physical clock value; nacos and Redis signals are monitored through a double-layer event monitor, the optimal incremental step length is determined according to the score sequence distribution trend, and a target score is generated to construct a dynamic priority sequence; and periodically selecting a main node and a preheating standby node, and when the main node fails, starting increment state synchronization based on Redis affairs after voting arbitration confirmation, so as to realize main and standby non-inductive switching. According to the method, the election accuracy of the main node and the switching reliability are improved, and the system interruption risk is reduced.

The invention discloses a computing network resource scheduling optimization method based on multi-agent deep reinforcement learning, and the method comprises the steps: building a distributed service caching, task scheduling and computing network resource distribution model through comprehensively considering the multi-party computing power of a cloud side end, the system time delay, the system energy consumption and the load balance of heterogeneous nodes of an edge layer in a computing network scene; taking an edge server as an intelligent agent, considering the time dependence of a task request and the influence of the task request on service cache, and using an Attention-LSTM algorithm to make a service cache decision; based on a multi-agent depth deterministic policy gradient algorithm, constructing an MA-LDDPG algorithm to perform task scheduling and resource allocation decision; in consideration of the influence of service caching on task scheduling and resource allocation, a service caching strategy obtained by an intelligent agent is used as an additional observation state of task scheduling and resource allocation decision to participate in training, so that joint optimization of system time delay and edge layer heterogeneous node load balancing is achieved.

The invention provides a wireless communication and computing resource collaborative optimization method and system. The method provided by the invention comprises the following steps: establishing an initialized global model matched with a business demand for each service provider, and matching service resources of each service provider according to the business demand; establishing a service agent corresponding to each service provider; each service agent generates an optimal strategy based on the corresponding service resources and the state information of other service providers; sending the initialized global model to a distribution client according to an optimal strategy; each distribution client trains the received to-be-trained model based on the distributed service resources, and sends the trained model to the corresponding service provider; and aggregating the received trained models by each service agent to obtain a global model of the corresponding service. The method and the system provided by the invention are used for realizing collaborative optimization of wireless communication and computing resources and improving the overall performance and the resource utilization efficiency of federated learning.

The invention provides a fault root cause determination method and device, electronic equipment and a storage medium, relates to the field of artificial intelligence, in particular to the technical fields of NLP, large language models, deep learning and the like, and can be applied to the application fields of generative search, document intelligent editing, intelligent assistants, intelligent e-commerce and the like. According to the specific implementation scheme, the method comprises the steps of obtaining a fault problem input in response to a fault of the distributed service system; classifying the fault problems to obtain target categories to which the fault problems belong; obtaining a target interaction topological graph matched with the target category; wherein nodes in the target interaction topological graph are used for indicating intelligent agents, edges between the nodes are used for indicating interaction relations between the intelligent agents, and the intelligent agents comprise tool type intelligent agents and / or non-tool type intelligent agents bound with tools; and sequentially calling the intelligent agents indicated by the nodes in the target interaction topological graph to process the fault problem so as to obtain the fault root cause of the distributed service system.

The invention provides a visualization system capable of synchronously displaying multiple types of data according to time. Comprising a distributed service cluster composed of a micro-service, a user management micro-service, a data transmission micro-service, a data storage management micro-service, a data extraction micro-service, a data visualization display micro-service, a data visualization template management micro-service and a resource monitoring micro-service; the micro-services are packaged in a containerized manner and interact by adopting a lightweight communication protocol, and automatic deployment and dynamic expansion are realized through a container arrangement tool; the system is provided with a basic parameter set with customizable micro-service configuration and a graphical configuration interface which are used for cooperatively generating a system operation environment configuration strategy. The user management micro-service establishes a multi-dimensional authority system based on a role access control model, and records an operation log to realize audit tracking; the data transmission micro-service integrates a plurality of heterogeneous data access modes, carries out transmission process verification and carries out secure channel transmission through the service gateway.

The invention relates to the technical field of computers, can be applied to the field of science and technology finance / digital medical treatment, and discloses a method and device for dynamically adjusting threads of a thread pool, electronic equipment and a storage medium. The method comprises the steps that initialization setting is conducted on thread pool parameters through a management center of a target service system; when a thread pool parameter adjustment request is received, generating a first thread pool parameter according to the thread pool parameter adjustment request; receiving a configuration change event through a configuration change monitor, and analyzing the configuration change event to obtain a first thread pool parameter; positioning a thread pool configuration field of the distributed service instance according to a mapping relation between a program entity factory and a parameter cache; injecting the first thread pool parameter into a thread pool component instance of the distributed service instance; and calling the setting function of the distributed service instance, and resetting the corresponding configuration parameters in the thread pool component of the distributed service instance. The method improves the adaptability of the system to load change, and breaks through the system performance bottleneck.

The invention discloses a distributed service deployment method and a distributed service deployment device based on Kubernetes. According to the method, resource object definition and service metadata are extracted by automatically analyzing a configuration file, and accurate acquisition and standardized processing of deployment information are realized; optimal deployment nodes are dynamically matched based on service characteristics and cluster real-time states, and resource scheduling rationality and service operation efficiency are improved; then automatically creating and starting a service instance at a target node according to an analysis result, and ensuring configuration consistency and standardization of a deployment process; and the service flow is controllably migrated to the new instance through the predefined version switching rule, so that smooth transition and risk controllability of version upgrading are realized. According to the method, the efficiency, the reliability and the version management capability of micro-service deployment are remarkably improved through full-process automatic closed loop from configuration analysis, intelligent scheduling to instance creation and flow switching.

The invention discloses a topology change detection method and device for a distributed service and electronic equipment, and relates to the field of distributed technologies. The method comprises the steps of obtaining a current topological graph and a historical topological graph of a distributed service based on label information of the distributed service; respectively serializing the current topological graph and the historical topological graph to obtain a first sequence corresponding to the current topological graph and a second sequence corresponding to the historical topological graph; determining an editing distance and an editing operation between the current topological graph and the historical topological graph according to the first sequence and the second sequence; and determining a detection result according to the editing distance and the editing operation. The technical problems that distributed service topology change detection in the prior art mainly depends on log analysis and real-time monitoring data, a large number of computing resources and storage space are needed, and the detection cost is high are solved.

A system for managing and controlling a network of distributed service units, comprising service units, each includes sensors, each configured to detect operational parameters, and a secondary control unit configured to generate unstructured inputs containing digital signals related to the detected operational parameters, and a remote primary control unit communicatively connected to the secondary control units of the service units, wherein the remote primary control unit is configured to communicate with the secondary control units to receive the generated unstructured inputs, process the unstructured inputs by aggregating the unstructured inputs. The aggregation involves structuring the unstructured inputs to generate a structured data package. The remote primary control unit is further configured to transmit the structured data package to the secondary control units for a selective implementation of one or more operational adjustments based on the structured data package.

The invention provides a data distribution method, electronic equipment, a storage medium and a program product. The method comprises the following steps: for each service node cluster in a plurality of service node clusters, performing state detection on each service node in the service node cluster to obtain a state parameter of each service node; determining a weight corresponding to each service node cluster based on the state parameters of the service nodes in the plurality of service node clusters; and distributing the service data in the plurality of service node clusters based on the weight corresponding to each service node cluster. According to the invention, the accuracy of data distribution can be effectively improved.

The invention discloses a service-oriented distributed resource automatic extraction and packaging method and a server, and relates to the technical field of micro-services, and the method comprises the following steps: querying to obtain a service packaging task state according to a service identifier; determining whether a packing task being executed exists or not; if not, performing dynamic dependency analysis on the target service corresponding to the service identifier during operation, and constructing a service dependency graph; detecting cyclic dependency based on the service dependency graph, and if the cyclic dependency exists, determining a resource acquisition range; obtaining multi-dimensional service resources from the plurality of distributed data sources; carrying out resource aggregation processing on the multi-dimensional service resources to generate a service basic information file, and packaging the multi-dimensional service resources and the service basic information file to generate a service resource package; and uploading the service resource packet to a distributed service management platform for deployment, and creating an asynchronous task. According to the method, the dependency relationship dynamically generated during operation can be effectively captured, the error rate is reduced, and the efficiency is improved.

The embodiment of the present invention discloses a method, device, equipment, medium and program product for edge collaborative computing power allocation. It includes: obtaining the business logistics information of each terminal node in the current business cycle; inputting the business logistics information of each terminal node into the pre-trained business classification prediction model to determine the real-time terminal node and the real-time computing power prediction value; determining the real-time computing power demand according to the real-time terminal node and the real-time computing power prediction value, and dividing the total computing power resources into the real-time business container area and the non-real-time business container area according to the real-time computing power demand; determining the non-real-time access node for each time slot corresponding to the next business cycle according to the non-real-time computing power resources of the non-real-time business container area and the node weight of each non-real-time terminal node, and allocating non-real-time computing power resources to each non-real-time access node in the non-real-time business container area. This enables the computing power resources of the edge node to be fully utilized, distributed services to be flexibly deployed, and improves the processing capability of the power Internet of Things network for services.

The invention discloses a power communication network resource allocation system and method based on an optical service unit, and relates to the technical field of power communication networks, and the system comprises an infrastructure layer, a transmission mapping layer and a cooperative control layer. Wherein an OSU transmission channel is deployed between the backbone communication network and the power distribution communication network of the infrastructure layer; the transmission mapping layer is deployed with a multi-service priority mapping mechanism and is used for controlling division of service logic, distributing services to corresponding transmission channels and sending service information to the cooperative control layer; a centralized controller and a distributed controller which are in communication interaction are deployed in the cooperative control layer, the centralized controller is used for generating a global resource configuration and path planning strategy of the power communication network according to received service information, and the distributed controller is used for receiving a strategy instruction issued by the centralized controller and sending the strategy instruction to the centralized controller; and the local link state of the power communication network is monitored and dynamically adjusted in real time.

The invention relates to the technical field of artificial intelligence, intelligent gateways and finance, and provides a flow scheduling method, device and equipment for an intelligent gateway and a medium, and the method comprises the steps: obtaining resource monitoring data and API call chain data of each node in the intelligent gateway through a distributed service cluster grid; determining resource use trend prediction information and dynamic threshold information according to the resource monitoring data and a trained time sequence prediction model; in response to the fact that the resource use trend prediction information is abnormal, determining a fault propagation path according to the API call chain data and a pre-trained causal reasoning model; and determining a dynamic flow scheduling strategy through a multi-factor weight formula, and determining an adaptive fusing strategy according to the dynamic threshold information. Through the technical scheme, the problems of difficult fault positioning and scheduling lagging in a traditional distributed system are solved, and the stability, the anti-risk capability and the resource utilization efficiency of the intelligent gateway in a complex load scene are remarkably improved.

The embodiment of the invention discloses an edge-end cooperative computing power distribution method, device and equipment, a medium and a program product. Comprising the following steps: acquiring business logistics information of each terminal node in a current business period; inputting the logistics information of each industry into a pre-trained business classification prediction model, and determining a real-time terminal node and a real-time computing power prediction value; determining a real-time computing power demand according to the real-time terminal node and the real-time computing power predicted value, and dividing the total computing power resource into a real-time service container area and a non-real-time service container area according to the real-time computing power demand; and according to the non-real-time computing power resource of the non-real-time service container area and the node weight of each non-real-time terminal node, determining a non-real-time access node of each time slot corresponding to the next service period, and performing non-real-time computing power resource allocation on each non-real-time access node in the non-real-time service container area. The computing power resource of the edge node can be fully utilized, the distributed service can be flexibly deployed, and the service processing capability of the power internet of things is improved.

The embodiment of the invention provides an oil and gas service integration platform management system, the system comprises a distributed service platform and an oil and gas service integration platform, and the distributed service platform comprises a purchasing platform, a distribution platform, a warehouse logistics platform, a resource platform and a risk management platform; the purchasing platform is used for receiving a purchasing order of a purchaser, carrying out order integration and sending the integrated purchasing order to a corresponding supplier; the distribution platform is used for receiving a sales order of a supplier, searching a purchaser and sending the sales order to the purchaser; the warehouse logistics platform is used for matching a transportation party after detecting cargo delivery information, and sending cargo attributes to the transportation party; the resource platform is used for sending financial service information to a purchaser after detecting a non-full order of the purchaser, querying a financial service party and sending cooperation information to the financial service party; the risk platform is used for sending request information to a risk management party after receiving risk management requests of a purchaser and a supplier.

The invention relates to the technical field of computer and intelligent mine program operation and maintenance, in particular to an operation and maintenance system and method for mine program management and state monitoring. A database operation and maintenance module, a port monitoring module, a service management module, a system diagnosis module, a subscription data publishing and tracking module, a distributed service detection module and a data management module are fused, so that the capability of monitoring general configuration or states of machines and services is realized, and data formats are unified; and fault diagnosis and troubleshooting are carried out on modules with problems rapidly. According to the application, various operations of related applications of the intelligent mine platform in a whole business process period such as deployment, updating, troubleshooting and configuration information updating are fused, and the method is very suitable for deployment maintenance and troubleshooting operation and maintenance of deployment personnel and developers on the intelligent mine application in a mine scene.

The invention discloses a service fusing method based on a distributed service gateway and a related product. The method comprises the following steps: acquiring an error rate of accessing each service recorded in each service gateway; and for any service, opening a circuit breaker corresponding to the service under the condition that the error rate of the service recorded in any service gateway is greater than the corresponding error threshold. In the embodiment of the invention, the service gateway is used for recording the error rate of service access, and the gateway is used for controlling the circuit breaker corresponding to the service, so that decoupling of the service gateway and the redis is realized, and the performance of the service gateway is not restrained by the redis any more and is improved.

The invention discloses a broadband maintenance business service management method and system, and relates to the technical field of intelligent network management, and the method comprises the steps: collecting the operation state data of user equipment in real time, and carrying out the preprocessing; constructing a joint learning model based on the operation state data to generate a shared feature matrix; using the shared feature matrix to construct a classification sub-network to predict the fault category of the user equipment; and calculating a service priority based on a prediction result and carrying out service distribution. Through a double-layer LSTM and a self-attention mechanism, long-term dependence and global features of equipment operation are extracted, the accuracy and adaptability of fault classification are enhanced, target domain adaptability adjustment and mask strategies are introduced, so that the model can maintain efficient operation in data missing and future prediction scenes, and the fault classification efficiency is improved. The service priority and resource allocation are optimized through the fault prediction result, the maintenance efficiency and the response speed are improved, and compared with a traditional method, the method has the higher automation and intelligence level, the operation and maintenance cost is effectively reduced, and the service quality is improved.

The invention discloses a distributed service dynamic routing method based on a Web debugging agent tool, and relates to the technical field of data transmission. According to the method, the accurate identification efficiency of the multi-environment service instance is effectively improved by constructing the instance index structure of the compressed tag code; a service selection range is limited by adopting a calling chain identifier and an environment configuration code in a combined manner, so that service path isolation and accurate reproduction in a debugging link are realized; based on a hierarchical script system set by a Web debugging agent tool, multi-layer analysis and parameter enhancement can be carried out on a debugging request, and the controllability and legality of a debugging behavior are guaranteed. Particularly, through a service instance binding mechanism of the first request, all sub-requests in the same call chain maintain routing consistency, and the stability and reproducibility of the debugging process are remarkably improved; and meanwhile, a recovery mechanism is introduced to dynamically clean the expired binding relationship, so that efficient utilization of resources is ensured, and the state leaving problem is prevented.

The invention relates to a distributed service performance analysis method and system and a storage medium, and the distributed service comprises a plurality of working nodes, and each working node is provided with a local analyzer. The performance analysis method comprises the following steps: receiving stack tracking data aiming at a working node and collected by each local analyzer, and carrying out aggregation processing on the stack tracking data to obtain aggregated stack data; and generating a target flame map according to the aggregated stack data, and generating a target performance analysis result for the distributed service based on the target flame map. According to the invention, the problem that performance analysis is difficult to adapt to large-scale distributed services is solved.

The present invention relates to the technical field of IT and software development. Disclosed are a distributed automatic service dial testing method and an apparatus. The method comprises: configuring dial testing information and executing a dial testing task; acquiring dial testing return content and analyzing a result; checking the consistency between the analysis result and an expected result, so as to monitor and manage a network or application program; if the analysis result is consistent with the expected result, storing the analysis result or otherwise, storing the analysis result and checking the consistency again on the basis of an alarm policy configuration condition; and, if the analysis result is inconsistent with the expected result and a predetermined number of consistency checks have been executed, sending a dial testing alarm notification. The technical solution improves the degree of automation, flexibility and reliability of systems, ensures the stability and security of the systems, and provides effective support for monitoring and managing networks or application programs.

The invention provides a distributed business processing method and device of a swan-gap system, the swan-gap system and equipment, the swan-gap system respectively runs in a plurality of business equipment to form a multi-account group, a security module in the swan-gap system is used for accessing the multi-account group related to processing business of the swan-gap system during initialization, and the security module is used for accessing the multi-account group related to the processing business of the swan-gap system during initialization. The multi-account group information of the multi-account group is written into a local database; generating a corresponding group negotiation key for the multi-account group by adopting an encryption algorithm required by the processing service of the Gawan system; and the distributed account book module is communicated with the security module, is arranged in a soft bus module of the swan Mongolia system, and is used for storing equipment data and login states of a plurality of business equipment to obtain a credible online equipment list. According to the invention, the problem that the existing gap system only supports multiple devices and a single account, does not support multiple devices and multiple accounts, and cannot meet the business encryption requirement can be solved.

The invention relates to a method and a device for realizing a distributed DHCP (Dynamic Host Configuration Protocol) service, and belongs to the technical field of DHCP services, the method comprises the following steps: creating a subnet on an Openstack cloud platform, and starting a DHCP service corresponding to the subnet; the method comprises the following steps: creating a virtual machine on a cloud platform, linking the virtual machine to a subnet, scheduling the virtual machine to a server, creating a virtual machine instance on the server, and sending a notification after creating the virtual machine instance; the SDN controller analyzes a server where the virtual machine is located, a switch connected with the server and a port of the switch connected with the server where the virtual machine is located according to the notification, obtains virtual machine information, and associates the virtual machine information with the switch connected with the server where the virtual machine is located; the SDN controller configures a DHCP service of a switch connected with a server where the virtual machine is located; and the virtual machine sends a DHCP request, and the switch connected with the server where the virtual machine is located sends the IP address allocated by the cloud platform back to the virtual machine according to the configured DHCP service.

The invention discloses a power grid inspection method and device, and relates to the technical field of electric power. The method comprises the steps of detecting whether a user instruction is received or not; determining a communication protocol with each inspection point in the power grid based on the distributed service architecture if the inspection point information is received, and collecting power grid data through the communication protocol; processing missing values and abnormal values in the power grid data, and integrating the processed power grid data through supplementary data to obtain integrated power grid data; predicting the integrated power grid data based on a prediction model to obtain an analysis result; wherein the analysis result at least comprises the comprehensive operation state of the power grid; the prediction model is a data analysis model constructed based on a machine learning algorithm; according to the analysis result, determining and executing an inspection strategy; wherein the inspection strategy comprises an optimal inspection path; the optimal inspection path is obtained by predicting the inspection time, the energy consumption and the equipment health state through a path planning model. The system is used for realizing a power grid inspection function.

The invention discloses an emergency multi-unmanned aerial vehicle distributed service quality assurance method and system based on private flow sensing integrated design. The method comprises the following steps: establishing an equivalent Nakagami-channel model for a physical channel of a base station-unmanned aerial vehicle link in an emergency scene, establishing a signal model based on rate division multiple access, and calculating effective capacity; establishing a sensing signal model, and constructing an extended effective capacity of the fusion communication and sensing performance indexes; constructing a joint optimization problem; designing a dynamic weighted federated learning (DW-FL) algorithm, and solving a joint optimization problem; according to the method, the private flow of rate segmentation multiple access is designed into the sensing dual-function signal, and the federated learning DW-FL distributed algorithm for dynamic weighting based on the performance contribution degree is combined, so that the sensing resources of the multi-unmanned aerial vehicle network can be subjected to high-time-efficiency collaborative optimization and distribution in an emergency scene with limited resources, and the resource utilization rate of the multi-unmanned aerial vehicle network is improved. And the total effective capacity of the system is maximized while the dual service quality of communication delay and perception probability is ensured.

The invention provides a distributed service method and platform based on a service platform, and relates to the technical field of distributed computing power processing. The method comprises the steps of collecting historical computing power periodic supply data of different distributed servers, and performing performance analysis for stable available computing power to form distributed computing power supply data; obtaining a pre-estimated calculation power total amount of the training object set, and performing calculation power supply matching analysis in combination with the distribution calculation power supply data to form distribution calculation power matching data; and acquiring power supply price change data of the power grid, and performing computational power supplementary analysis in combination with the distributed computational power matching data and historical computational power period supply data of different distributed servers to form distributed computational power supplementary data. According to the method, reasonable computing power supply matching is carried out by extracting the distributed computing power based on historical computing power supply characteristics, and efficient and reasonable utilization of total computing power provided by a platform can be realized while a training object is ensured to obtain sufficient computing power.

The invention discloses a distributed service change event processing method, which comprises the following steps: continuously acquiring change events from an upstream service, and generating a corresponding version number for each newly acquired change event; associating and storing the change event and the corresponding version number into a first data set, wherein the first data set adopts a key value pair structure; continuously monitoring the state of the downstream service processing change event; when the notification that the downstream service finishes processing the first change event is monitored, the version number of the first change event is recorded into a second data set, and the second data set adopts a key-value pair structure; and determining a to-be-processed second change event of the downstream service based on the first data set and the second data set at least under a preset condition. According to the embodiment of the invention, a high-availability change event processing scheme is provided, and the change event can be prevented from being lost under the condition of a short-time high-intensity change event.

The invention discloses a multi-device cooperation method and a related device, and the method comprises the steps: a first terminal detects a first operation, and the first operation is used for sharing a first electronic device with a second account; in response to the first operation, the first terminal sends device sharing information to the server, and the device sharing information comprises information of the second account and information of the first electronic device; the server sends the information of the second account to the first electronic equipment; the server sends the information of the first electronic equipment to the second terminal; based on the information of the second account number and the information of the first electronic equipment, the second terminal and the first electronic equipment establish near field communication connection; the second terminal detects a second operation, wherein the second operation is used for triggering the first distributed service of the second terminal; in response to a second operation, the second terminal displays the icons of the one or more trusted devices; the one or more trusted devices include a first electronic device. Therefore, the distributed service can be realized in cooperation with the different account number equipment.