90 results about "Distributed services" patented technology

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.

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.

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 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 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.

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.

The invention provides a distributed identification generation method and system and a distributed service cluster, and relates to the field of distributed cluster processing, the method combines distributed member management based on a Gossip protocol with a Hash ring, and on the premise of ensuring that the generated snowflake identification is globally unique, gradually increased in trend and high in performance, the distributed service cluster is generated. Decentralization and automatic process management of the distributed service cluster on the Worker ID are realized, strong dependence on external coordination service is eliminated, and reliability, expandability and elastic expansion and contraction capability of the distributed service cluster are improved.

The invention provides a complex business arrangement method based on a service grid, which comprises the following steps that: a plurality of business services are deployed on a container management platform in a containerized application form, the service grid is operated on the platform, and the business services are associated with network agents; a declarative business process definition is obtained by an arrangement control module, and the definition describes an execution dependency relationship among business task nodes; the arrangement control module translates the business process definition into a group of network flow management rules and a group of declarative resource definitions; and issuing the network flow management rule to a control plane of the service grid to drive flow circulation, and issuing the declarative resource definition to a container management platform to execute a specific service task. According to the method and the system, process execution is sunk to infrastructures, thorough decoupling of service logic, process logic and resource scheduling is realized, a technical foundation is laid for constructing an elastic and robust distributed service system, and the development efficiency, reliability and maintainability of a complex service system are remarkably improved.

The application discloses a service architecture, a synchronization method, a scheduling method, a reconstruction method and a service node, and relates to the computer technical field, to solve the problems of high time delay requirement, inflexibility and difficult data consistency guarantee of the existing distributed service scheme. The distributed user service architecture comprises a user service dynamic scheduling component, which is used for predicting and scheduling service nodes of users and managing the consistency of event flow data between the service nodes; a plurality of service nodes distributed in a region, each service node comprising an event source component and a stateful user service system; the stateful user service system is used for generating and consuming events; the event source component comprises: an event source library, which is used for recording the source reconstruction of event flow data and user service states of users; and an event source synchronization component, which is used for synchronizing the event flow data between the service nodes. The embodiment of the application has low time delay bandwidth requirement and can flexibly realize the consistency management of data.

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 network address translation (NAT) 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 NAT rule to facilitate client IP persistence for all network connections associated with the user app session (e.g., the NAT rule is used in selecting the Cloud NAT with a fixed public IP address to egress the traffic).

A request to perform scalability analysis of a constituent service of an application at a first deployment environment is received. The constituent service is deployed to a plurality of host groups of the deployment environment. A data set which indicates a collection of front end request routers configured to distribute service requests among hosts of a collection of deployment environments including the first deployment environment is obtained. Analysis of the data set is used to identify a resource scaling unit which indicates a set of host groups, including a particular host group of the plurality of host groups, such that individual hosts within the set of host groups have the same estimated workload level as other hosts within the set of host groups. A representation of the resource scaling unit is stored.

The invention provides a flow replication method, assembly and equipment and a storage medium, and relates to the technical field of computers, the method is applied to a Dubbo-based distributed service system, the method is executed by a flow replication assembly accessed by a client, and the method comprises the following steps: when it is determined that the client initiates a Dubbo calling request, intercepting the Dubbo calling request, and according to a configuration file of the client, reconfiguring the Dubbo calling request according to the configuration file of the client; acquiring client configuration information; obtaining server configuration information of a server; matching request information in the Dubbo calling request with client configuration information, determining whether traffic copying is needed or not, and if yes, determining a target formal server and a target parallel server corresponding to the Dubbo calling request according to a matching result and server configuration information; and sending the original call to the target official server to obtain a first response result fed back by the target official server in response to the Dubbo call request, and sending the parallel call to the target parallel server to obtain a second response result fed back by the target parallel server in response to the Dubbo call request.

This invention discloses an auto-scaling system and method for cloud-native intelligent typesetting services. The system includes a master resource scheduler: for receiving service requests, determining whether current cluster resources are sufficient and automatically scaling, and for phased distribution of service requests; and slave resource schedulers: for receiving phased distributed service requests, determining whether the resources within the containers providing the service locally are sufficient and automatically scaling, and for feeding back request results and resource usage to the master resource scheduler. This invention utilizes a planning algorithm to predict service deployment methods and a search algorithm to predict whether service deployment methods will lead to excessively long service response times. While ensuring timely service completion, it rationally and efficiently utilizes cloud resources. Combined with deployed services, this invention performs targeted automated deployment of microservices under known microservice processes and estimated resource consumption and service duration, while also considering cloud resource utilization and timely scaling up or down cloud resources.

The application provides a method for distributing a client to access a low-delay server based on a master service, comprising the following steps: the client acquires a local feature code and sends login account information to a master server; the master server checks the login information; the master server acquires regional information and telecommunication network information of the client according to the ip information of the client, and acquires service server information closest to the client; two service server node information are selected, and the login information and the feature code of the client are synchronized to the two service servers; the master server distributes service server address information to the client and returns token data and data encryption keys to the client; the client selects a service server to connect; and the client performs service data interaction through the token data and the data encryption keys. The application has the beneficial effects that the logical decoupling of system login and service data interaction is realized, and the possibility that a background service system can be deployed across regions or different telecommunication networks is realized.

This application discloses a network load balancing control method, apparatus, device, and storage medium. The method includes: a first network device sending a path probe request message to a second network device; receiving multiple path probe response messages returned by the second network device; determining the weight value of each link path based on the round-trip time (RTT) value of each path probe response message; and proportionally allocating service packets to the corresponding link paths and sending them to the second network device based on the weight values ​​of each link path. In this way, service packets can be proportionally allocated to the corresponding link paths and sent to the second network device based on the weight values ​​of each link path, thereby realizing a single-stream multi-path load balancing mechanism. Furthermore, by distributing service packets through multiple paths, it is beneficial to improve the utilization rate of link paths in the network, optimize the uniformity of network traffic scheduling, effectively avoid traffic congestion, and thus improve the overall network performance.

The embodiment of the invention provides a transaction processing method, a distributed service cluster, a storage medium and a program product, and relates to the field of distributed technologies, the distributed service cluster comprises a plurality of service groups, and each service group comprises a group management node and at least two service nodes. The method comprises the steps that a target service node generates a node identifier and sends a node registration request to a target group management node, the node registration request comprises the node identifier, and the target group management node is a group management node of a service group where the target service node is located; the target group management node performs intra-group conflict detection and inter-group conflict detection on the node identifier, and feeds back a node registration result to the target service node according to a conflict detection result; the target service node receives a transaction processing request from the user side under the condition that the node registration result is successful; and the target service node generates a transaction identifier for the transaction processing request according to the node identifier, and executes the transaction processing request based on the generated transaction identifier.

The invention provides a database management method, a high-availability component and a system for semiconductor manufacturing, and belongs to the field of semiconductor manufacturing, and the method comprises the steps that the high-availability component judges whether to trigger failover of a main database; when it is judged that failover is triggered, the high-availability component selects a current standby library as a new main library from the current standby libraries of the database cluster; the distributed service registration center receives the latest first log record of the old primary library and removes the primary library identifier; the distributed service registration center updates a second log record of the new main library according to the first log record through all the high-availability components; and the distributed service registration center reconstructs topological connection of the database cluster and adjusts a current synchronization mode between the main database and the standby database of the database cluster. According to the processing scheme provided by the invention, the application-database network accessibility is introduced as a main selection key index, so that the optimal network path between the new main database and each application node after fault switching is ensured, and the service continuity and high availability are really realized.

The application discloses a kind of declarative HTTP client implementation method and device supporting dynamic routing, belong to distributed service communication technical field.The method mainly includes: generating interface metadata set by scanning declarative interface annotation, and creating dynamic proxy object based on the set;Abstract HTTP request template is constructed by using proxy object to parse URL template, request parameter and request body;Abstract service name is replaced by specific instance address by combining routing strategy and service instance information, to form complete HTTP request;The asynchronous sending and responsive receiving of request are integrated by non-blocking HTTP client implementation;Finally, service fuse protection is realized by combining retry strategy and circuit breaker through exception capture mechanism.The application effectively improves the development efficiency of HTTP call between microservices, routing flexibility and system fault tolerance by the fusion of declarative programming model and dynamic routing mechanism.

The application provides a routing processing method and device of a distributed service system, equipment, a storage medium and a program product. The method comprises the following steps: a master node receives state information of any one service node; a routing table stored in the master node is updated according to the state information, and the updated routing table is synchronized to each secondary node; the master node responds to a routing synchronization request sent by any one service node and performs the following processing: the master node and each secondary node perform consensus processing based on the updated routing table; when the master node and no less than a threshold number of secondary nodes successfully perform the consensus processing, the master node synchronizes the updated routing table to each service node. Through the application, full-link collaborative change of each node in the distributed service system can be realized, thereby realizing accurate synchronization of the routing table, ensuring routing consistency between each node in the distributed service system, and effectively improving the access success rate of the distributed service system.

The invention relates to an office automation system, which belongs to the technical field of office automation systems and comprises a basic platform, a personnel management subsystem and a vehicle management subsystem. The system adopts a B / S architecture; according to the system, a distributed service framework is adopted, and Dubbo is selected as middleware; the front end of the PC end is developed by adopting an MVVM framework Vue.js; the background framework is developed by selecting a form of Dubbody + SpringBoot + Mybatis + JPA (JavaScript Program Amplifier); redis middleware is selected for a data cache framework, and Zookeeper middleware is adopted for service registration and management. An intelligent office automation system is realized.

The application relates to a performance profiling method, system and storage medium of a distributed service, wherein the distributed service comprises a plurality of work nodes, and each work node is respectively provided with a local profiler; the performance profiling method comprises the following steps: receiving stack trace data collected by each local profiler for the work node, and performing aggregation processing on the stack trace data to obtain aggregated stack data; generating a target flame graph according to the aggregated stack data, and generating a target performance profiling result for the distributed service based on the target flame graph. Through the application, the problem that performance profiling is difficult to adapt to large-scale distributed services is solved.

The application discloses an AI decision-based distributed service node trusted message transmission method and device, relates to the technical field of network communication, and comprises the following steps: constructing dynamic trust characteristics of each service node in a distributed system according to service node information, and decomposing the network state of each service node into structural feature components and disturbance feature components; in response to a message transmission request, screening out a candidate path set from multiple paths from a source service node to a target service node; inputting each path in the candidate path set into a decision model to generate initial decision parameters, and determining a current preferred path of the model; constructing counterfactual reference paths based on the disturbance feature components of the current preferred path, calculating the causal effect value of the current preferred path of the model relative to the counterfactual reference paths; correcting the reward baseline of the decision model according to the causal effect value, and selecting a target transmission path from the candidate path set to transmit a trusted message.

The invention discloses a declarative HTTP (Hyper Text Transport Protocol) client implementation method and device supporting dynamic routing, and belongs to the technical field of distributed service communication. The method mainly comprises the steps that an interface metadata set is generated by scanning declarative interface annotations, and a dynamic proxy object is created based on the set; analyzing the URL template, the request parameter and the request body by using the proxy object, and constructing an abstract HTTP request template; in combination with a routing strategy and service instance information, replacing the abstract service name with a specific instance address to form a complete HTTP request; the integrated non-blocking HTTP client realizes asynchronous sending and responsive receiving of a request; and finally, service fusing protection is realized by combining an exception capture mechanism with a retry strategy and a circuit breaker. According to the method, through fusion of the declarative programming model and the dynamic routing mechanism, the development efficiency of HTTP calling between micro-services, the routing flexibility and the system fault-tolerant capability are effectively improved.

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.

The invention provides a request processing method and device for a distributed system, equipment and a medium, and relates to the technical field of distributed services. Comprising the following steps: acquiring state data of each distributed service node in the distributed system; obtaining a health state identifier of each distributed service node according to the state data and a preset health data threshold value; obtaining an effective service node list of the distributed system according to the health state identifier; receiving a service calling request sent by a calling party; obtaining a target node according to a preset routing algorithm and the effective service node list; and sending the service calling request to the target node. According to the method provided by the invention, the real-time state data of each distributed service node in the distributed system is acquired, and the effective service node list of the distributed system is updated in real time in combination with the preset health data threshold value, so that the balance of flow forwarding is ensured, and a fault of the distributed system caused by a single-point overload problem is avoided.

The invention discloses a micro-service architecture-based power transformer operation state evaluation method, system and equipment and a medium, and relates to the technical field of power equipment state monitoring and intelligent diagnosis, and the method comprises the steps: collecting multi-source operation data of a power transformer, carrying out the unified processing of the multi-source operation data, constructing a standardized feature vector, and carrying out the calculation of the multi-source operation data; based on multi-physics field coupling simulation, calculating field distribution and mechanical response of the power transformer, inputting standardized feature vectors into an intelligent classification model, classifying winding deformation faults, outputting fault types and confidence coefficients, performing interactive visual rendering on simulation results and intelligent classification results, and performing fault curve comparison display. And distributed service management is carried out by using a containerized micro-service mode. According to the invention, deep fusion and collaborative optimization are carried out under the micro-service architecture, so that full-chain intelligent improvement of transformer faults from mechanism revealing and accurate identification to visual decision support is realized.