262 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 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.

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 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 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 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 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 scheduling method and device for a server cluster, equipment, a storage medium and a product. The method comprises the following steps: receiving service requests and counting a first number of the service requests within a set duration; each service request at least comprises first information indicating a service type; determining a second number of latest nodes which are not fully utilized in the server cluster; determining a target scheduling strategy of the server cluster based on a comparison result of the first quantity and the second quantity; the target scheduling strategy comprises an evaluation parameter corresponding to the service type; and distributing service nodes for the service requests based on the target scheduling strategy. According to the embodiment of the invention, the service nodes can be allocated for the service request in the server cluster on the basis of comprehensively considering the service types and the comparison result of the first quantity and the second quantity, so that the optimal allocation of the service nodes can be realized on the basis of considering the resource consumption difference of different service types, the resource waste can be reduced, and the resource utilization rate is improved. And the service performance of the server cluster is improved.

The invention belongs to the field of vehicle-mounted edge computing, and discloses a distributed service migration method oriented to a vehicle-mounted edge computing environment. According to the method, a service migration decision is optimized by constructing a three-layer heterogeneous vehicle-mounted edge network model which comprises a cloud center layer, an edge layer and a user layer based on comparison role representation and multi-agent deep reinforcement learning. The invention provides a multi-agent deep reinforcement learning method based on improved QMIX, and the method comprises the steps: constructing agent behavior state track embedding for a local Q network and a hybrid network according to the historical track information of an agent, capturing a time-related behavior mode, solving a part of observability problems, and improving the robustness of the multi-agent deep reinforcement learning. A character encoder based on comparative learning is further used for extracting unique behavior patterns of different agents to generate character representation so as to capture long-term characteristics of behaviors of the agents; a multi-head attention mechanism is introduced into the hybrid network, and attention weights are dynamically distributed. The method has excellent performance.

The invention relates to an operation risk monitoring method, device and equipment for a distributed service cluster. Comprising the following steps: acquiring multiple types of operation data of each service node in a distributed service cluster, grouping each service node according to each type of operation data, determining a trained abnormal distribution proportion corresponding to the operation data characteristic corresponding to each group, and determining the abnormal distribution proportion corresponding to the operation data characteristic corresponding to each group; calculating an index value corresponding to each group according to the anomaly distribution proportion, then summing the index values of the groups corresponding to the operation data of each type to obtain an anomaly score corresponding to the corresponding data of each type, and finally summing the anomaly scores of all types to obtain a total anomaly score. And predicting the operation risk of the distributed service cluster according to the total abnormal score, thereby realizing quantification of the abnormal condition of the distributed service cluster, and accurately predicting the operation risk even if the number of the computing nodes in the distributed service cluster changes dynamically.

Described are techniques for in-band service chaining. The techniques include generating a topic chain for a service request that spans a set of service nodes in a distributed services environment. The topic chain indicates a sequence of topics to publish the service request so as to provide the service request to the set of service nodes via the sequence of topics. The techniques further include publishing the service request and the topic chain in a message to a first topic indicated by the topic chain to provide the service request and the topic chain to a first service node in the set of service nodes, and to allow the first service node to subsequently publish the message to a second topic indicated by the topic chain, so as to provide the service request and topic chain to a second service node in the set of service nodes.

The invention discloses a task processing method and device, electronic equipment and a storage medium, and relates to the field of distributed technologies. The method comprises the following steps: competing for a distributed lock through a plurality of service nodes, and determining a target service node used for coordinating tasks from the plurality of service nodes; running states of all service nodes in the distributed service cluster are obtained through the target service node, the service nodes with the normal running states are classified as an effective service node set, and the effective service node set comprises at least one effective service node; and distributing the plurality of to-be-processed tasks to the effective service node through the target service node, so that the effective service node executes the distributed to-be-processed tasks. According to the technical scheme provided by the invention, the asynchronous task processing stability and efficiency can be improved.

The invention relates to the technical field of distributed service management, in particular to a distributed service degradation self-adaption method and system based on annotation driving, and the method comprises the steps: customizing a degradation annotation on a target service instance, and the degradation annotation comprises a basic threshold value, a priority identifier and a first instruction; receiving a degradation annotation and context information of the target service instance, the context information being applied to the differentiated processing strategy, the context information comprising user information; multi-dimensional indexes of the target service instance are monitored in real time, the multi-dimensional indexes comprise a system index, a service index and an environment index, and the service index comprises response time; constructing a service instance dependency relationship, and generating a dynamic threshold according to a system index, a priority identifier and a basic threshold in combination with a differential processing strategy; when the response time of the target service instance is greater than a dynamic threshold, triggering a degradation process, and executing the first instruction and generating state information by the target service instance; and synchronizing the state information to a service registration center, and triggering a distributed cooperative degradation strategy.

The embodiment of the invention provides a service distributed parallel processing method and device, for a predetermined service abstracted as tensor calculation, a calculation graph can be constructed according to operators contained in the predetermined service, then in-layer parallel optimization is carried out on the operators of each layer to obtain an in-layer parallel strategy, and then the in-layer parallel strategy is obtained. And distributed business processing can be carried out by utilizing a corresponding in-layer parallel strategy. Wherein the intra-layer parallel strategy comprises a parallel calculation strategy of operators and a parallel transmission strategy of tensors among the operators. According to the embodiment, the parallel strategy of distributed service processing based on the tensor can be effectively optimized, and then the distributed service processing efficiency is improved.

This application provides a method, apparatus, device, medium, and program product for determining timeout, relating to the field of electronic equipment technology, and is used to improve the stability and resource utilization efficiency of distributed systems. The specific technical solution is as follows: Obtain call data from the most recent N calls to a distributed service; the call data includes: call response time, call result, percentage of active threads in the thread pool, and call frequency load; N is a positive integer; determine a real-time load coefficient based on the percentage of active threads in the thread pool and the call frequency load; determine a response time fluctuation coefficient based on the standard deviation and average value of the call response time; determine a timeout failure rate based on the number of timeout failures in the call results; and determine the timeout time corresponding to the distributed service based on the real-time load coefficient, response time fluctuation coefficient, and timeout failure rate. This application is applied to scenarios involving determining the timeout time of distributed services.

The application provides a database sharding method, device and computer program product, the method comprising: obtaining a virtual account information table, the virtual account information table comprising customer information and virtual account attribute information; generating a plurality of intermediate table records according to the data of the virtual account information table, the intermediate table records comprising a type label of a job task of a batch job flow and a sharding value of the job task; obtaining the data of the virtual account information table corresponding to the sharding value of the job task of the intermediate table record, obtaining a sub-table of the virtual account information table corresponding to the intermediate table record, and determining the number of job shards corresponding to each sub-table according to the type label of the job task of the intermediate table record; and performing processing on each sub-table according to the corresponding job task by using threads of the number of job shards corresponding to each sub-table according to the flow of the batch job flow, and obtaining a processing result, thereby solving the problem of low distributed service processing efficiency caused by unbalanced data sharding of a database in the prior art.

The present application provides a reconciliation method, a reconciliation device, and a reconciliation system. The reconciliation method includes: upon receiving a reconciliation request, obtaining target customer account balance information from multiple distributed service units, wherein the distributed service units store account balance information of multiple customers divided according to customer dimensions, and the target customer is one or more of the multiple customers; classifying the target customer account balance information according to predetermined classification rules to obtain multiple reconciliation files, wherein the predetermined classification rules are rules formulated based on at least certificate of deposit category and currency category; and sending the multiple reconciliation files to an accounting system, so that the accounting system performs reconciliation based on at least the reconciliation files and the target account balance, wherein the target account balance is the target customer account balance information stored in the accounting system. This solves the problem in the prior art that reconciliation is difficult to perform relatively stable and reliable due to the high degree of interactive coupling of customer data.