34 results about "Distributed servers" patented technology

The invention provides a building industry finance and tax compliance digital evidence chain integrated platform which is deployed based on a cloud computing architecture and comprises a distributed server cluster, a network communication module and a database storage system. By constructing the integrated digital platform, fundamental efficiency improvement and risk management and control reinforcement of finance and taxation management in the building industry are realized, the platform enables a data acquisition process to be highly automatic, manual repeated entry work is greatly eliminated, financial personnel are liberated from tedious account checking, and the financial personnel are greatly improved. The compliance check module based on a rule engine and artificial intelligence can perform real-time and comprehensive automatic analysis on all transaction data, significantly improves the identification accuracy and timeliness of potential compliance risks, realizes instant alarm, converts passive risk response into active risk response, and improves the risk handling efficiency. Compared with a traditional manual mode, the data processing speed is improved in order of magnitude, the monthly checkout and report generation time is greatly shortened, the enterprise decision cycle is remarkably accelerated, and the overall operation efficiency is improved.

The invention provides an intelligent inspection system based on a robot and a camera, and relates to the field of intelligent manufacturing, the system adopts a four-layer architecture including a sensing layer, a transmission layer, a platform layer and an application layer, the sensing layer is composed of a fixed camera and an intelligent inspection robot; the transmission layer adopts optical fibers and 5G hybrid networking; the platform layer is integrated with a distributed server cluster, a data platform and an AI inference engine; the application layer provides a Web and mobile terminal management interface. The core of the system adopts a plurality of AI algorithms, including an instrument reading recognition algorithm based on Hough transform and CRNN, a leakage detection algorithm combined with background difference and an optical flow method, and a multi-device collaborative scheduling algorithm based on reinforcement learning, and constructs a digital twinborn inspection scene of virtual-real mapping. According to the invention, automatic and intelligent inspection and visual monitoring of power plant instruments, pipelines, power distribution rooms and other areas are realized, the inspection efficiency and accuracy are effectively improved, and the labor cost and the safety risk are reduced.

Systems, methods, and computer-readable media are described for facilitating network synchronization within a network comprising multiple distributed server clusters connected to various edge devices. The synchronization process involves maintaining multiple copies of a routing table, which are distributed across the locations of the server clusters and edge devices. When a connectivity change occurs and is detected by at least one server in the distributed server clusters, this change is represented as a delta in the routing table. The delta is then distributed across the server clusters and edge devices to update and synchronize all copies of the routing table, ensuring consistency across the network.

This invention discloses a multi-dimensional performance evaluation method and system for computing servers, relating to the field of server performance data analysis. By constructing existing computing server resources into single server systems, server cluster systems, and distributed server systems, this invention selects the most suitable server system for running the test task based on its characteristics during performance testing. It then evaluates the performance of existing computing servers by selecting the optimal value from four dimensions: deployment time, running time, upgrade time, and uninstallation time. This achieves comprehensive performance testing and full utilization of existing resources, ensuring that the final evaluation results reflect the best performance achievable under existing computing server resource conditions, thus improving the accuracy of performance testing.

Systems, methods, and computer-readable media are described for facilitating network synchronization within a network comprising multiple distributed server clusters connected to various edge devices. The synchronization process involves maintaining multiple copies of a routing table, which are distributed across the locations of the server clusters and edge devices. When a connectivity change occurs and is detected by at least one server in the distributed server clusters, this change is represented as a delta in the routing table. The delta is then distributed across the server clusters and edge devices to update and synchronize all copies of the routing table, ensuring consistency across the network.

This application provides a distributed server rendering method, system, and medium. The method includes: component-based modeling and metadata definition of the rendered page using a component modeling module to obtain a component dependency model graph; acquiring user rendering request information; analyzing this information using a caching decision module to obtain a caching decision strategy; identifying independent rendering fragments using a fragmented rendering module based on the component dependency model graph; performing server-side fragmented rendering to obtain rendering fragment content packages; and performing multi-channel parallel transmission using a collaborative transmission module. Upon receiving the data, the client interaction module performs DOM rendering and data association binding to restore page interactivity. This application achieves distributed server rendering by constructing a component dependency model graph and defining metadata, making dynamic caching decisions based on real-time context and a preset component caching benefit prediction model, and combining fragmented rendering and multi-channel collaborative transmission with progressive data association and interaction recovery.

Systems, methods, and computer readable medium are disclosed for altering network connections during maintenance periods. Altering network connections during maintenance periods includes monitoring via a cloud service, a network of distributed servers and client devices, the monitoring including maintaining records of software upgrade schedules for the servers and existing tunnels between the client devices and the servers; receiving at the cloud service a request to upgrade software on a particular server; in response to the request, scheduling the software upgrade; accessing the records to identify an existing tunnel between a client device and the particular server; prior to the scheduled upgrade, accessing the records to identify an alternative server to which existing tunnel traffic can be directed during the upgrade; and following identification and prior to the scheduled upgrade, rerouting network traffic flow from the client to the alternative server to thereby avoid a communication blip.

A method and apparatus for revoking and replacing digital certificates issued by distributed servers is disclosed. An architecture in which issued certificates from distributed factory and field provisioning servers are gathered into a centrally managed certificate authority which manages the full certificate lifecycle. Revocation and rekey approvals are performed through this central certificate authority, while the resulting revocation status and rekey approvals are made available for consumption by those same distributed servers.

The application provides a kind of material procurement business behavior management system, comprising: procurement business platform, procurement business platform is the distributed server cluster of multiple servers, for loading procurement subsystem;Multiple procurement person terminal is used to obtain bidding procurement demand or non-bidding procurement demand and send to procurement mall module, to build procurement project and send to corresponding procurement module;Multiple supplier terminal is used to receive and show procurement project;For bidding procurement project and bidding procurement module interaction, to provide bid document and by bidding procurement module to open bid, evaluate bid, determine bid and archive;For non-bidding procurement project, transaction is carried out through non-bidding procurement module and corresponding procurement person terminal;Wherein, procurement business platform is also used to receive the business demand text sent by procurement person terminal and input pre-training large language model generation function module code, and new function module is created according to function module code for procurement person terminal and supplier terminal to implement corresponding business.

The application provides a load balancing method and system for an Internet of Things edge terminal. The load balancing method comprises the following steps: acquiring all devices for uploading data in the Internet of Things; classifying the data uploaded by the devices in units of devices to obtain data categories; summarizing the data generated by all devices in units of data categories, and acquiring the data volume corresponding to each data category and a data category set; distributing servers according to the data volume and the data categories to obtain the servers corresponding to each data category; and sending data to the corresponding servers according to the corresponding relationship between the data categories and the servers. The system comprises modules corresponding to the method steps.

Systems, methods, and computer-readable media are described for facilitating network synchronization within a network comprising multiple distributed server clusters connected to various edge devices. The synchronization process involves maintaining multiple copies of a routing table, which are distributed across the locations of the server clusters and edge devices. When a connectivity change occurs and is detected by at least one server in the distributed server clusters, this change is represented as a delta in the routing table. The delta is then distributed across the server clusters and edge devices to update and synchronize all copies of the routing table, ensuring consistency across the network.

The invention provides a data processing method based on a distributed server. The method can be applied to the technical field of artificial intelligence and the technical field of distribution. The method comprises the following steps: inputting a pieces of target data into a long short-term memory network model generated by pre-training, and outputting a popularity score of each piece of target data and a freshness score of each piece of target data. And inputting the a pieces of target data into a pre-trained associated neural network model, and outputting the association score of each piece of target data. And according to the popularity score, the freshness score and the correlation score of each piece of target data in the a pieces of target data, loading the a pieces of target data into a three-level cache of the distributed server in a classified manner for data processing. And storing the a pieces of target data after data processing into a node server where the persistent cache of the distributed server is located. The invention further provides a data processing device and equipment based on the distributed server, a storage medium and a program product.

The invention belongs to the technical field of computers, and provides a redundant data backup optimization system of a distributed server cluster, which comprises a fluctuation interval division module, an explosion access feature quantification module, a coupling mapping model construction module and a backup node optimization module, and is characterized in that fluctuation intervals are divided; constructing a two-dimensional curve based on historical explosion events, and extracting an explosion access slope threshold value; establishing a coupling mapping model of the fluctuation interval and the copy adjustment amount; after an explosion threshold value is triggered, a cluster copy is adjusted according to the model, and backup storage nodes are optimized through an ant colony algorithm when the page view continuously rises; according to the invention, accurate identification and dynamic adjustment of explosive access are realized, the copy adaptation precision and backup efficiency are improved, and the service continuity and data reliability are guaranteed.

A method and related systems for increasing relevant content transmission may include storing first content representation in a first server and second content representations in a second server, generate a query representation based on a query, retrieving an intermediate representations by concurrently using the first server to retrieve a first representation subset based on the first content representations and using the second server to retrieve a second representation subset based on the second content representations. The method also includes using a graph neural network to re-rank similarities to select a ranked graph subset, determining an input context that includes selected content including data from the first server and the second server based on an association between the selected content and the ranked graph subset, and generating a language model response by transmitting, to an API of a language model, an input comprising the query and the input context.

A computerized method is provided for managing replicated database resources. Systems and methods described can use a plurality of geographically distributed servers to query a replicated database and determine the databases health based on monitored golden signals in response to the query. The various servers can be geographically distributed and can report their database health findings to a monitoring agent which can use quorum logic based on all of the reporting servers to identify resource health and trigger failover to another instance of the replicated database when warranted. Such systems and methods can thereby detect not only hard failures but also so-called grey failures resulting in diminished resource performance and trigger failovers to increase resource performance.

Systems, methods, and computer-readable media are described for facilitating network synchronization within a network comprising multiple distributed server clusters connected to various edge devices. The synchronization process involves maintaining multiple copies of a routing table, which are distributed across the locations of the server clusters and edge devices. When a connectivity change occurs and is detected by at least one server in the distributed server clusters, this change is represented as a delta in the routing table. The delta is then distributed across the server clusters and edge devices to update and synchronize all copies of the routing table, ensuring consistency across the network.

A system is provided for processing network requests with ultra scale throughput and low latency in a networked computing environment. In particular, the system may comprise a distributed server network that may use one or more data apply engines to record changes occurring within a data mainframe. The changes may be recorded in the distributed server network through a number of discrete event-apply processes. A consensus mechanism may be selected by the system to ensure the resiliency and uniqueness of the recorded events while maintaining high throughput to ensure that the changes are recorded expediently (e.g., in real-time or near real-time). In this way, the system may ensure that the data regarding the events are highly available and may be served with low latency and high accuracy.

The embodiment of the utility model discloses a cloud computing service platform based on artificial intelligence, which comprises a physical server cluster, network connection equipment, an artificial intelligence module and a distributed storage unit, the physical server cluster comprises a plurality of servers arranged in a distributed manner, and the cloud computing service platform further comprises a distributed temperature sensing module, a cloud computing module and a cloud computing module, the plurality of servers are arranged at key heating parts of the servers in a distributed manner; the cooling execution unit is arranged close to the key heating part and comprises a plurality of groups of micro PWM (Pulse Width Modulation) speed regulation fans and / or micro liquid cooling devices; the PWM dynamic closed-loop speed regulation circuit comprises a main control module, a PWM speed regulation module and a state monitoring module connected with the cooling execution unit; wherein the distributed temperature sensing module and / or the cooling execution unit are / is electrically connected with the main control module through an interrupt controller. According to the invention, efficient and real-time temperature control can be realized, energy is saved, and the stability of the system is effectively ensured.

The application provides an intelligent agricultural machine operation system and method based on open-source Hongmeng four-level edge-fog-cloud cooperation, which comprises: a terminal device layer, including an intelligent agricultural machine, used for controlling the execution of operation tasks and collecting environment and device state data in real time; a fog node layer, deployed in an agricultural machine cluster, used for realizing real-time collision avoidance, task dynamic splitting, sensing data preprocessing and emergency instruction response of multiple agricultural machines in close proximity; an edge node layer, deployed in a farm side base station, used for the cooperative scheduling of multiple fog node clusters, global path planning, multi-source data fusion and algorithm model deployment, and undertaking aggregated data and global strategies; and a cloud platform layer, adopting a distributed server cluster, used for global task planning, agricultural condition big data analysis, digital twin simulation, algorithm model iteration and hierarchical security control. The application solves the technical problems of the existing intelligent agricultural machine system architecture, such as lack of creativity, conventional algorithm combination, poor dynamic adaptability and device compatibility.

This invention provides a method and system for device health analysis and early warning. It identifies each server device within a distributed server system, determines whether the server device is in a preset working mode, and establishes a time-division communication channel between all server devices in the preset working mode and the Elasticsearch platform. The Elasticsearch platform is then used to perform real-time data monitoring of the distributed server system. Furthermore, the working data monitored from the server devices is stored in the Elasticsearch platform's storage space, and the stored working data is analyzed to obtain the server device's performance information, thereby accurately and in real-time identifying the server device's working status. Based on the performance information, the lifecycle of the server device in its normal working state is predicted, and the task execution status information of the server device is returned to the user, ensuring monitoring reliability and efficiency.

The application discloses a kind of distributed server data access systems, it is related to server technical field, and its technical solution main points include: according to the shard relevant information of historical access data corresponding in distributed server cluster construction data shard benchmark;Based on data shard benchmark for the access data to be generated access shard factor;The access shard factor includes the access factor type and access shard element determined based on access data;Second security risk early warning coefficient of abnormal shard factor is obtained based on the standard shard factor associated with abnormal shard factor;According to the first security risk early warning coefficient and the second security risk early warning coefficient, the comprehensive risk early warning coefficient of abnormal shard factor is obtained, and the security early warning and access control result are output based on the comprehensive risk early warning coefficient to access data, effect is to improve the security, stability and high efficiency of distributed server data access.

The invention provides a periodical publishing management method and system based on multi-agent collaborative decision, and relates to the technical field of electric digital data processing. Comprising the following steps: pre-loading a task scheduling general control agent, a manuscript analysis agent, an expert matching agent, a resource scheduling agent, a compilation cooperation agent and a credible evidence storage agent into a distributed server cluster comprising a plurality of nodes; carrying out preprocessing and duplicate checking on the manuscript by utilizing a manuscript analysis agent; constructing a game model and a decision model by utilizing an expert matching agent to generate a manuscript reviewer list; monitoring a manuscript review state by using a resource scheduling agent to generate a scheduling scheme; semantic error correction and standardization processing are achieved through an editing and correcting cooperation agent; all data generated in a periodical publishing process are encrypted and stored in a block chain network by using a trusted evidence storage agent, and the privacy security of participants is protected in combination with federal learning. According to the method, collaborative optimization of the whole periodical publishing process can be realized, and the manuscript reviewing efficiency and the editing quality are remarkably improved.

A method and related systems for increasing relevant content transmission may include storing first content representation in a first server and second content representations in a second server, generate a query representation based on a query, retrieving an intermediate representations by concurrently using the first server to retrieve a first representation subset based on the first content representations and using the second server to retrieve a second representation subset based on the second content representations. The method also includes using a graph neural network to re-rank similarities to select a ranked graph subset, determining an input context that includes selected content including data from the first server and the second server based on an association between the selected content and the ranked graph subset, and generating a language model response by transmitting, to an API of a language model, an input comprising the query and the input context.

The invention discloses a BIM-based subway safety emergency drilling platform, and belongs to the crossing field of subway safety emergency management and BIM technology application. The method aims to solve the problems that traditional subway emergency drilling is high in cost, limited in scene and weak in data acquisition and analysis and existing BIM emergency application is incomplete. The platform comprises a server side, a client side, a data interface layer and a supporting engine, a distributed server framework and a high-performance 3D engine are adopted, and the server side achieves scene model lightweight management, multi-role configuration, interaction event binding, drilling level creation, whole-process data management and AI virtual user and anti-cheating functions. The client supports PC, VR, mobile terminal multi-device access and single-person / multi-person collaborative drilling, and the data interface layer is in butt joint with an existing subway system. According to the method, high-precision scene restoration, low-cost drilling and data driving optimization can be realized, and the emergency response capability of the subway is remarkably improved.

The invention discloses a distributed server node collaborative interconnection system for AI model training. The distributed server node collaborative interconnection system comprises a node layer, a collaborative control layer, a resource scheduling layer, a data transmission layer and a fault-tolerant guarantee layer. The node layer comprises calculation, storage and communication nodes and adapts to heterogeneous hardware requirements; the cooperative control layer guarantees the gradient consistency of nodes through a distributed controller and a dynamic synchronization mechanism; the resource scheduling layer adopts a load prediction algorithm based on an exponential smoothing method to dynamically allocate resources; the data transmission layer optimizes transmission through adaptive fragmentation and differential compression; the fault-tolerant guarantee layer detects faults in real time and resumes migration tasks in a breakpoint mode. The system solves the problems of scheduling bottleneck, transmission delay and poor fault tolerance in the prior art, improves the cooperation efficiency, the resource utilization rate and the reliability, and is suitable for large-scale AI model training.

The application relates to the technical field of laboratory detection, and particularly discloses a kind of monitoring data automatic acquisition system and method, system includes laboratory control terminal and distributed server;Its characterized in that, laboratory control terminal includes: data entry module, for obtaining the unique code of current sample to be measured, the entry time stamp of sample and the identity information of user;Warehouse management module is used for obtaining the rest coordinate parameters of the end gripper of mechanical arm in the laboratory when last task ends;Also used for determining operation parameters according to the rest coordinate parameters when last task ends, the unique code of current sample to be measured, the entry time stamp of sample to be measured and the identity information of user four groups of data, through built-in site generation algorithm, operation parameters are operated, and mapped to the warehouse placement position of laboratory warehouse sample placement platform.Enter the warehouse placement position calculated from the above four groups of data, upload to the block chain network of distributed server and store evidence.The technical scheme of the application can monitor the detection process of the sample to be measured in the laboratory stage, and prevent tampering.

The application provides a space-ground integrated twin simulation system, comprising: a scene deployment service subsystem, configured to provide scene deployment services in the form of microservices to realize space-ground integrated twin simulation corresponding simulation scene deployment and space-ground resource configuration functions, and generate simulation nodes in the space-ground integrated twin simulation; a model algorithm service subsystem, configured to provide model algorithm services in the form of microservices to model the environment according to the simulation scene deployment and space-ground resource configuration of the scene deployment service and generate simulation data corresponding to the simulation nodes; and a hardware access service subsystem, configured to provide hardware access services in the form of microservices to connect semi-physical devices and physical devices to the system, map the semi-physical devices and physical devices to the corresponding simulation nodes through virtual-real mapping, associate the simulation nodes with the devices, and collect data generated by the devices; each subsystem is configured in an independent container, and the container is deployed in a distributed server.

The invention discloses a communication data encryption method and device, a computer readable storage medium and a vehicle, and relates to the technical field of communication, the method is applied to a domain node of a distributed service system, and the method comprises the following steps: receiving a service request of a client; generating a token key according to the attribute of the client, and determining an access address of the target service based on the service request; and sending the token key and the access address to the client, so that the client carries out authority verification according to the access address, the token key and the level token of the target service, and each service has the access address and the level token. Therefore, according to the method, the level permission is set for service access, permission verification is carried out according to the access address, the token key and the level token of the target service, and the data security of the distributed server system is greatly enhanced.

The invention discloses a method and a system for provable continuous auditing of distributed data supporting dynamic updating and forward security, and belongs to the field of data security storage. The client side executes an initialization algorithm, and system public parameters and private parameters are established; the client executes a storage algorithm, generates a data block and an authentication tag, and distributes the data block and the authentication tag to a plurality of edge servers for storage; each edge server calculates challenge evidence based on a time lock puzzle mechanism, samples auditing data blocks and generates local auditing evidence; according to a predefined distributed server grouping structure, a final audit evidence is formed through multiple rounds of evidence exchange; each server executes a verification algorithm, and if verification fails, malicious edge server nodes are identified and positioned; and the client can execute an updating algorithm to realize single data destruction, all data destruction or regular key updating, so that the forward security of the data is ensured. According to the invention, various cryptographic technologies and distributed architectures are integrated, and efficient, safe and extensible continuous auditing is realized.

A method for controlling an electronic device using blockchain can include transmitting, by a processor in the electronic device, a first transaction to a device account (DA) stored in a distributed server of a blockchain network and logically coupled with the electronic device, the DA including data uniquely identifying the electronic device, transmitting, by the DA, a second transaction to a smart contract, and transmitting, by the DA, device data for controlling an operation of the electronic device to the smart contract. Also, the method can further include receiving, by the DA, data corresponding to a first value according to a transaction rule defined in the smart contract, transmitting, by the DA, the first value to the electronic device, and executing, by the electronic device, a control command corresponding to the first value.