176 results about "Distributed services" patented technology

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 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 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 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.

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 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.

The invention provides a development method for a low-code micro-service architecture client unlimited extension system, and belongs to the technical field of micro-services. Real-time performance monitoring data of a micro-service instance are acquired by constructing a distributed service registration center, an explosion sparse matrix is constructed based on a delay perception vector to carry out dimension reduction compression on the data, and the real-time performance monitoring data of the micro-service instance are acquired; a jump detection matrix is used to calculate performance index change sensitivity and dynamically adjust a balance load matrix weight, and a super-dense traffic matrix and a super-clustering service vector are generated through principal component analysis of a super-sparse matrix to realize multi-level mapping. And inputting the processing result into an adaptive resource prediction model to predict future resource requirements and further adjust the load weight, thereby solving the technical problem in the prior art that the load balancing cannot be dynamically and adaptively adjusted according to the real-time performance monitoring data under the micro-service architecture.

The application provides a service feature-based directional shunting method, device, equipment and storage medium, relates to the technical field of data directional shunting, and the method comprises the following steps: obtaining acceleration service information and acceleration platform information; obtaining corresponding attribute feature information according to the acceleration service information; grouping various attribute feature information, adding corresponding service feature labels to the attribute feature information in the same group; inputting the attribute feature information with the service feature labels and the acceleration platform information into a preset prediction model to obtain acceleration prediction information corresponding to the attribute feature information; determining shunting strategy information according to the acceleration prediction information; and distributing service traffic corresponding to the acceleration service information to a corresponding acceleration platform according to the shunting strategy information. By predicting the power consumption and acceleration time of the service in different acceleration platforms, the shunting strategy information is determined based on the principle of minimizing the power consumption and acceleration time, so that the comprehensive load of the power consumption and acceleration time of the acceleration platform is more balanced.

Various embodiments of the teachings herein include a method for identifying / detecting non-qualified services in a network of distributed services. In some embodiments, the method includes: detecting comparative interaction patterns between at least two services in a contract; observing interaction patterns during the communication of the services; and comparing the observed interaction patterns with the comparative interaction patterns.

The invention belongs to the technical field of micro-energy coordination control of a virtual power plant, and particularly relates to a quasi-distributed service coordination control system. Comprising a serial port and message mutual conversion service, a CAN and message mutual conversion service, a 4-20mA message conversion service, an information arrangement service, a control service, a system log service, a data cycle persistence service, a fault processing service, a data permanent persistence service, an adjustment algorithm service, a historical data query and display service, and a data and prediction data display service. Real-time data display service and equipment management service. According to the method, the disaster tolerance of the whole software system can be improved through fully distributed deployment and redundant services, resource limitation can be broken through the characteristics of remote cloud services, and infinite extension of computing power and storage theories is achieved. According to the method, functions can be decomposed into characteristics of a plurality of services, so that the flexibility of the system is improved, and the expansibility of the system is also improved.

The application belongs to the technical field of computer software professional microservice, and specifically designs a lightweight service management system based on embedded microservice architecture, which comprises a service registration center and a client agent; the lightweight and easy-to-deploy service management technology maintains the state information of distributed services, realizes an efficient and reliable data transmission mechanism based on the connectionless mode of the UDP protocol, provides the functions of service registration center state awareness, service registration, service subscription and discovery for distributed services, realizes the high availability and data consistency of the service registration center based on the distributed database of the raft protocol, provides a Web UI interface, and facilitates real-time monitoring of the service state by microservice developers.

The application relates to a service capability calling method and device, computer equipment and a storage medium. The method is applied to a service management server for managing a distributed service capability network, and comprises the following steps: in response to a service capability calling request, obtaining the service capability type of a service capability to be called from the service capability calling request; obtaining a target sniffing node according to the service capability type, and initiating a service capability query request to the target sniffing node; the service capability query request is used for requesting the target sniffing node to obtain service capability address information of a target service capability, the target service capability belongs to service capabilities within the sniffing range of the target sniffing node, and the idle rate of the target service capability is greater than or equal to a preset idle rate; and initiating calling to the target service capability according to the service capability address information. The method can improve the overall utilization rate of service capability resources in the distributed service capability network.

The invention provides a distributed system, a distributed device virtualization method and an electronic device, the distributed system comprises an application layer and a driver layer, the application layer comprises a distributed service, and the driver layer comprises a distributed device management driver and at least one virtual device driver; the distributed service is used for forwarding communication data between the driving layer and first hardware equipment of the second electronic equipment; the distributed equipment management driver is used for forwarding communication data between the distributed service and the first virtual equipment driver; and the first virtual device driver is one of the at least one virtual device driver, corresponds to the first hardware device and is used for virtualizing the first hardware device so as to realize that the first application of the application layer uses the first hardware device of the second electronic device. According to the invention, by modifying the driver layer, distributed device virtualization can be realized, so that one electronic device can share the hardware device of another electronic device.