210 results about "Distributed services" patented technology

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 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 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 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 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 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.

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.

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.

Methods and systems for managing data, resources, services, or the like in a distributed service system (e.g., a distributed service platform) are disclosed. Application programming interface (API) requests (e.g., API calls) may be automatically generated from user intents detected in natural language statements provided by a user. Resource providers within the distributed service platforms that the user intended for the API requests to be transmitted to are also automatically identified based on the user intents. One or more resource proxies may then automatically route the generated API requests to these resource providers using a directory of the distributed service platform.

Techniques for providing language localization for traffic egressing from a distributed Service Access Service Edge (SASE) infrastructure are disclosed. In some embodiments, a system, a process, and / or a computer program product for providing client IP persistence for traffic egressing from a distributed SASE infrastructure includes receiving traffic associated with a user application (app) session at a Secure Access Service Edge (SASE) cloud network via a proxy node; processing the traffic associated with the user app session using a security processing node (SPN), and wherein a source network address translation (SNAT) rule is configured for the SPN; and egressing the traffic associated with the user app session from the SASE cloud network to its original destination using a fixed public IP address based on the SNAT rule to facilitate language localization for all network connections associated with the user app session.

The invention discloses a network fault repairing method and device, electronic equipment and a computing program product. The method comprises the following steps: obtaining operation data when a service platform has a fault, the service platform being used for providing a plurality of network services; determining a plurality of candidate services influencing the operation data in the plurality of network services; adopting a high-level decision maker in a preset deep reinforcement learning model to select a repair strategy type according to a service priority configured for each candidate service in advance, and adopting a bottom-layer executor in the deep reinforcement learning model to distribute service resources for each candidate service according to the repair strategy type; and providing services on the business platform according to the service resources allocated for each candidate service. The technical problem that a traditional network fault repairing method is low in repairing accuracy is solved.

The present application provides a communication method and system for distributed services, comprising: a service process running on a distributed node generates a communication message; obtaining a target address for the communication message within the service process; and the service process sending the communication message to a message queue server or a message queue on the current node based on the target address. This approach enables local message consumption to require only simple operations in local memory, eliminating the need for network protocol encapsulation and unpacking, thereby improving process execution efficiency. The use of dual message queues also decouples distributed services, eliminating the need for strong business coupling between service processes.

The application discloses an edge computing network service function chain embedding method based on K shortest path, and aims at a distributed service function chain embedding problem under time delay constraint. In the case of meeting the end-to-end time delay constraint, a service function embedding algorithm based on K shortest path algorithm is designed to minimize the deployment cost. The application firstly proposes a service function embedding problem modeling method based on a weighted layered graph, and converts the service function chain embedding problem into a minimum cost path problem under time delay constraint in the weighted layered graph. Secondly, a service function chain embedding mechanism under time delay constraint is designed based on the weighted layered graph and K-linear measurement aggregation algorithm. Compared with the prior art, the application has better high performance and operability, and has practical significance for complex network applications in edge computing networks.

The application discloses a kind of distributed service management methods, method is applied to the distributed service management system of multiple clusters, any cluster includes one master node and multiple read-only nodes, and the synchronization of service data is realized by creating link between the read-only node of different cluster and target end;Method includes: obtaining target user information, in the service involved in the target user of management system query;Based on the service obtained by query, the data involved in each service to the target user is combed out to form a synchronization link template, the synchronization link template includes the cluster where the target synchronization data is located, the form involved in the service and the number of links to be created, based on the synchronization link template, the link between the target end and at least one read-only node of the corresponding cluster is created, to extract the corresponding business data from different clusters and synchronize to target end.The application can solve the problem of DTS link creation cumbersome and inefficient, greatly improve the efficiency and quality of link creation.

The application relates to the technical field of computer networks and discloses a TCP service behavior portrait method and system based on network flow metadata, which comprises the following steps: decoding captured TCP network flow and extracting distributed correlation identifiers to form application layer interaction records; converting the interaction records into unified standardized operation logs; organizing the logs into ordered behavior chains based on time windows; further analyzing the logs and the behavior chains, quantifying atomic behaviors by aggregation, and discovering frequent service process modes by sequence pattern mining; attributing the analysis results to specific service entities to form entity portraits containing service function portraits and service process atlases; and finally constructing a global distributed service atlas representing the calling relationship between services by using the distributed correlation identifiers. The dependence strength between services is accurately quantified, and data decision-making basis is provided for system operation and maintenance and architecture optimization.

The application discloses a power grid inspection method and device, and relates to the technical field of electric power. The method comprises the following steps: detecting whether a user instruction is received; if the user instruction is received, determining a communication protocol of each inspection point in the power grid based on a distributed service architecture, 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 a comprehensive operation state of the power grid; the prediction model is a data analysis model constructed based on a machine learning algorithm; determining an inspection strategy and executing the inspection strategy according to the analysis result; wherein the inspection strategy comprises an optimal inspection path; and the optimal inspection path is obtained based on an inspection time, energy consumption and equipment health state prediction through a path planning model. The application is used for realizing the inspection function of the power grid.

The application relates to the technical field of IT and software development, and discloses a method and device for automatically dialing a distributed service, which comprises the following steps: dialing test information is configured, a dialing test task is executed, dialing return content is obtained and a result is analyzed, and a consistency verification is performed according to the consistency of the analyzed result and an expected result, so that the network or the application program is monitored and managed. If the analyzed result is consistent with the expected result, the analyzed result is stored; otherwise, the analyzed result is stored, and a consistency verification is performed again according to an alarm strategy configuration condition. If the analyzed result is inconsistent with the expected result and the consistency verification reaches a preset number of times, a dialing test alarm notification is sent. The technical scheme improves the automation, flexibility and reliability of the system, guarantees the stability and safety of the system, and provides effective support for the monitoring and management of the network or the application program.

Approaches are described for a decentralized computing platform that enables dynamic execution of distributed services through a hybrid on-chain and off-chain architecture. The platform consists of a network of nodes, each running a virtual machine to host and execute service instances. A sequencer component records, sequences, and notarizes function calls to maintain a consistent service-level state across the network. Computation takes place off-chain on nodes that participate dynamically in specific services based on resource availability. A persistent virtual memory structure manages both service-level and instance-level state. The service-level state is synchronized across nodes participating in the same service, while the instance-level state is isolated to individual nodes for independent operations. The memory system is non-volatile, retaining state across function calls and enabling direct execution from memory. A universal procedure call (UPC) framework facilitates decentralized communication through multicast-enabled operations with customizable fault tolerance and supports applications from finance to high-performance computing.

A multi-domain telecommunication network may use a blockchain with an activation block to activate a reserved connection path for a service. The network may use a correction block in the blockchain to efficiently and timely perform a crank-back procedure. A management node of a domain of the network may act as an activation miner send activation messages to management nodes of other domains of the network, the management nodes may perform activation for their respective portions of the connection path reserved by the activation block. The management node acting as the activation miner may verify activation of reserved resources and, in case of failure, generate a correction Block to lock the failed resources and to release the resources affected by the crank-back process. Subsequent blockchain decisions and calculations may reflect the actual status of network resources.

Disclosed herein are methods and systems for improved service system configuration during distributed services execution by a distributed services system. In one example, different sets of machine learning models respectively generate signals indicative of predicted risk and expected values associated with execution of a service by the distributed services system. Next, expected values associated with actions, where each action corresponds to a configuration of the service, are determined so that an action that maximizes the expected value associated with the execution of the service based on the predicted risk can be selected. The action is then executed configuring the execution of the service for a user in the distributed services system.