66 results about "Distributed servers" patented technology

The invention discloses a distributed server load balancing system based on multi-modal data fusion. The distributed server load balancing system comprises a multi-modal sensing layer, a fusion analysis layer, an intelligent decision-making layer and an elastic execution layer, the multi-modal sensing layer collects multi-source heterogeneous data; the fusion analysis layer is used for mining an association relationship between data of different dimensions; meanwhile, converting multi-source data into a unified feature vector, and outputting a dynamic load balancing strategy; the intelligent decision-making layer generates an executable load balancing strategy according to the fusion analysis result; and the elastic execution layer converts the strategy generated by the intelligent decision-making layer into an actual action, and deals with load change through an elastic mechanism. According to the method, server performance, network topology and request semantic data are fused, a unified feature tensor is generated by using a cross-modal attention mechanism, and load association is accurately quantified; on the basis of cooperation of a global mixed integer programming model and a local lightweight DQN agent, load migration is completed in a very short time, and the response speed is increased.

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.

Methods and systems for determining the type of a remote mobile device by combining multiple types of data sets. The system collects various types of data sets, such as data sets associated with identity information, traffic patterns, control signaling, and application data associated with a remote mobile device from a radio access network and a packet core. This data is processed using a machine learning model, or using other processing techniques, to generate an output data set, which is used to determine the device type. The determination is more accurate and consistent than using only one type of data set. The system can be implemented in various environments, including local servers, cloud-based servers, hybrid servers, and distributed servers. The service can be provided to clients as a cloud service, where clients provide a mobile number, and the service provider handles the data collection, processing, and device type determination.

The invention provides a digital certificate management method. The method can be applied to the technical fields of big data and financial science and technology. The method is applied to a server for distributing a digital certificate in a distributed server cluster, and comprises the following steps: acquiring a digital certificate application element, and generating a digital certificate request file and a private key based on the digital certificate application element. Wherein the private key is a private key of an environment system which cannot carry out data transmission and is bound with a server used for distributing the digital certificate. And sending the digital certificate request file to a digital certificate issuing mechanism for generating a digital certificate. Wherein the digital certificate comprises a public key corresponding to the private key, and the private key is used for verifying the digital certificate. And acquiring the digital certificate, and distributing the digital certificate to a server for authenticating the digital certificate in a distributed server cluster. The invention further provides a digital certificate management device and equipment, a storage medium and a program product.

The invention provides a service authorization method and device based on a single device fingerprint, equipment and a medium, and relates to the technical field of information security. The method comprises the following steps: acquiring single-device fingerprint information of a management server of a to-be-deployed big data platform; according to the single-device fingerprint information and multi-dimensional authorization information for the big data platform, a pre-generated private key is adopted for encryption, and an authorization file is generated; and sending an authorization file to a management server, decrypting the authorization file by using a public key corresponding to the private key by the management server, and performing authorization verification of the big data platform on the management server and a plurality of distributed servers of the management server according to the decrypted single-device fingerprint information and the decrypted multi-dimensional authorization information, and the plurality of distributed servers are used for deploying a plurality of service modules of the big data platform. According to the invention, refined authorization for the big data platform can be realized.

A routing process schedules and executes Java code excerpts across backend servers. A route table contains routes to be executed in JVM namespaces on servers and identifies for each route a Jar file containing applicable classes and methods to be executed at a CRON time. During execution, methods are retrieved from each applicable class and are executed to extract data from backend devices. The servers transform the extracted data into frontend data and load it onto frontend storage devices. Only the classes and methods in the Jar file for a route need be executed. Complete Java programs need not be run.

The application discloses a variable data risk index calculation method, device, equipment, storage medium and program product, relates to the technical field of data processing, and the variable data risk index calculation method comprises the following steps: the variable data risk index calculation task is distributed by the current load condition of the distributed server, the load balancing capability of the system is improved, and the task processing capability of the system is improved. Through the risk index calculation of the distributed storage file loaded into the memory of the target server, the flexibility of data processing is improved. Through uploading the updated distributed storage file to the distributed file storage system, business analysis personnel can more conveniently obtain data risk index execution results and intermediate values of risk index calculation, so that the accuracy and efficiency of data analysis are improved.

The present invention relates to IoT devices existing in a deployed ecosystem. The various computers in the deployed ecosystem are able to respond to requests from a device directly associated with it in a particular hierarchy, or it may seek a response to the request from a high order logic / data source (parent). The logic / data source parent may then repeat the understanding process to either provide the necessary response to the logic / data source child who then replies to the device or it will again ask a parent logic / data sources for the appropriate response. This architecture allows for a single device to make one request to a single known source and potentially get a response back from the entire ecosystem of distributed servers.

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.

The utility model discloses a VR (Virtual Reality) distributed server convenient to fix, which comprises a server shell, a back plate is arranged on the back of the server shell, the back plate adopts a lateral concave structure design, a notch of the back plate is clamped on the outer wall of the server shell, the back plate is fixedly arranged on the outer wall of the server shell through a positioning screw, and the positioning screw is arranged on the back of the server shell. The outer walls of the two sides of the rear back plate are respectively provided with a rear fixing side lug, and the rear fixing side lugs and the rear back plate are designed to be of an integrally-formed structure, so that when the server shell is actually used, the server shell has double installation and fixing effects of a vertical panel and a horizontal panel, and the service life of the server shell is prolonged. Different panels can be dynamically selected for installation and fixation according to an actual server cabinet, various installation and fixation effects are achieved, the use limitation of a single fixing structure is reduced, different cabinet installation environments and installation requirements can be met, the installation and disassembly processes are convenient, and the structure is more convenient to use.

The memory management method, device, electronic equipment and readable medium provided by the application belong to the technical field of computers. The method comprises the following steps: acquiring the memory load of a first distributed server running an application program; when the memory load exceeds a load threshold, instructing the first distributed server to stop running the application program, and forwarding traffic data sent to the first distributed server to a second distributed server, wherein the second distributed server is a distributed server in a distributed server cluster whose memory load does not exceed the load threshold; after detecting that the first distributed server stops running the application program, redeploying and starting the application program on the first distributed server, wherein the first distributed server releases the allocated memory in the first distributed server at the same time of stopping running the application program; and re-sending the traffic data of the application program to the first distributed server.

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 disclosure relates to an end-to-end private networking system. The system may include a private wide area network. The private wide areas network may allow for multi-tenancy. The private wide area network connects the tenants to an aggregation network core via a mobile data network. The aggregation network core is in turn in secure communication with one or more distributed servers via a secure tunnel or other secure connection.

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 invention discloses an energy-saving server cluster management system based on a distributed architecture, which comprises a server cluster management system, and the server cluster management system comprises a cluster management algorithm module, a server cluster adjustment module, a server grouping module, a cluster performance adjustment module, a server service module and a server coordination module. The server grouping module and the server coordination module are arranged, the ZooKeeper sub-module, the etcd sub-module and the Consul sub-module are matched with one another, the method is suitable for scenes needing fine-grained access control, and the ZooKeeper sub-module, the etcd sub-module and the Consul sub-module are matched with one another, so that stable operation of the servers after classification and grouping is guaranteed; by setting the cluster performance adjustment module and the server cluster adjustment module, the user can establish the distributed server cluster and deploy the user service in parallel, and the period of the user from establishment of the distributed server cluster to completion of user service deployment is greatly shortened, so that the power, time and human input of the user are saved.

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 application discloses a distributed server resource allocation method and system, electronic equipment and storage medium. The method determines a variation pool containing a plurality of variation parents; generates a new population containing a plurality of new individuals according to the plurality of variation parents in the variation pool and the sorting values in the first sorting result corresponding to each variation parent; combines the new population and the current population as a total population, performs fast non-dominated sorting on each individual in the total population to obtain a second sorting result; selects a plurality of individuals from the total population according to the sorting values in the second sorting result, calculates the second dynamic crowding distance of each individual corresponding to the maximum sorting value meeting the first preset condition in the plurality of individuals; selects a plurality of elite individuals from the plurality of individuals according to the second dynamic crowding distance to construct an elite population, and iterates the elite population as the current population until a preset iteration number is reached to obtain a target elite population. The application can improve the rationality of distributed server resource allocation.

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 application provides a resource synchronization method, a multi-cloud management system, a device, equipment and a medium. The method comprises the following steps: determining target original resources to which virtual resources of a target server are mapped according to mapping relationships between the virtual resources of each server in a distributed server cluster and original resources of a multi-cloud management platform; reading alarm data of the target original resources from a local historical database of the target server; obtaining a failure probability of the target original resources in a process of performing resource synchronization according to the alarm data and a first early warning model, the first early warning model being a model for predicting failure of the original resources; and performing resource synchronization between the target server and the multi-cloud management platform in a case where the failure probability is less than a preset threshold. The application realizes early warning of resource synchronization failure by predicting a synchronization failure probability by using the alarm data and the first early warning model before performing resource synchronization.

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.

The application provides a vector retrieval method, device and equipment and readable storage medium. The vector dataset is converted into a vector node graph and distributed stored, and navigation node information is stored on each server, so that any server can take the navigation node as a starting exploration node, continuously update the starting exploration node by selecting the node closest to the target vector in the candidate vector pool, and iterates between the distributed servers to continuously expand the search range, expands the graph-based vector approximate retrieval to the distributed system scenario, realizes the cooperation between multiple distributed servers in the distributed system to complete the vector retrieval task, improves the coverage of the vector retrieval, and effectively focuses on the node closer to the target vector, improves the accuracy and retrieval performance of the vector retrieval.