98 results about "Distributed servers" patented technology

The embodiment of the invention provides a distributed server cluster log processing method and device, and the method comprises the steps: constructing a distributed server cluster log collection network, and dynamically distributing collection tasks through a load balancing scheduling center. An incremental data acquisition channel is designed, efficient transmission is realized by using a websocket long connection pool, and the transmission efficiency is optimized in combination with real-time compression coding and a repeated data detection mechanism. An intelligent log analysis model is constructed, the intelligent log analysis model comprises an anomaly detection sub-model, a mode recognition sub-model and an event association analysis sub-model, anomaly score calculation, log classification labeling and multi-dimensional association analysis are achieved based on a deep learning method, and visual display and data export functions are provided. According to the method, the defects of the traditional technology in the aspects of distributed acquisition, data transmission, intelligent analysis and the like are effectively overcome, and the performance and practicability of a log processing system are remarkably improved.

The invention relates to the technical field of virtual reality interaction, and discloses a virtual reality multi-person interaction method, which comprises the following steps: realizing environment synchronous initialization based on space anchor point calibration and dynamic object loading, and configuring value physical rules and interaction logic; executing a data synchronization mechanism by establishing connection and session management; performing real-time action synchronization and interaction logic processing according to user input processing and action capture; user data privacy and security are protected, and content security and user behaviors are supervised. According to the virtual reality multi-user interaction method and system, by adopting a distributed server architecture and dynamically distributing the nearest edge node according to the geographic position of the user, dynamic load balancing can be realized, QoS priority division is started, low-delay transmission is realized by adopting a UDP + RUDP protocol, communication data is encrypted by adopting an AES-256-GCM, and a key is dynamically updated by adopting a dual-ratchet protocol; and the biological characteristics are converted into irreversible hash values, so that the security of privacy data of the user can be effectively improved.

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 relates to a parameter adjustment strategy determination method and device, a server and a storage medium. The method comprises the following steps: storing a plurality of IO requests to corresponding target storage volumes according to storage volume identifiers carried by the received IO requests; determining a parameter adjustment strategy of the main server according to the target information of each target storage volume; wherein the target information of the target storage volume is determined according to the attribute information of the IO request stored in the target storage volume; and determining a target parameter adjustment strategy of the distributed server cluster according to the parameter adjustment strategy of the master server and the parameter adjustment strategies of the slave servers except the master server in the distributed server cluster. The adjustment strategy determined by the method cannot enable the performance of the distributed server cluster to be optimal.

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 relates to the technical field of server data access control, and discloses a server data access control method, device and equipment and a storage medium. Distributed server deployment information is queried by estimating bidding document item service requirements of each sub-service area; solving a server data access control strategy by taking the overall processing delay condition of the server executing the corresponding service user bidding document item, the server hardware load and the server resource scheduling limitation as a constraint condition set and taking the server access experience of the service user in the target server access control time period as an optimization target; and resource scheduling and service user matching of the distributed server in each access control period are realized by using a control strategy, so that bidding document project service is executed. According to the method, the rationality of server data access control planning is improved by considering regional differences, time peak differences and strong regional relevance of bidding document application services in different industry categories and hardware resource limitations of distributed servers.

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.

Disclosed is a system for implementing a distributed encrypted database across database nodes of a distributed server network. The system comprises at least one server. The at least one server is configured to execute a database management system to configure at least one database node of the distributed encrypted database with a first software to provide automated failover and replication capabilities in the distributed encrypted database. Moreover, the database management system is executed to integrate a second software with the database management system and encrypt data at rest in a distributed encrypted database by employing the second software; and integrate a third software with a first platform that is capable of authenticating users of the distributed encrypted database for controlling access to the encrypted files. Disclosed also is a method for implementing a distributed encrypted database across database nodes of a distributed server network.

The invention discloses an intelligent traffic multi-angle night vision snapshot camera device and system, and belongs to the technical field of image processing, and the device comprises a multi-mode sensing layer which is connected to a traffic information collection end; the anti-interference physical layer comprises a lens anti-interference module arranged at the traffic information acquisition end; the edge computing layer comprises an embedded NPU (Network Processing Unit) chip, and the chip realizes multi-stage distributed processing through a multi-stage processing mechanism; and the cloud collaboration layer realizes real-time synchronization and storage of data through a distributed server cluster in combination with a network communication module, and supports access of multiple terminal devices at the same time. In the implementation process of the technical scheme of the invention, multi-dimensional data acquisition is performed on a traffic scene through the multi-modal sensing layer, and distributed processing is performed on the acquired image through the edge calculation layer after acquisition is completed, so that multi-dimensional analysis of the traffic image is realized.

A system is provided for process monitoring using a quantum artificial intelligence powered distributed server network. In particular, the system may continuously monitor processes being executed within the network environment. Upon detecting an issue with the process, the system may use a quantum AI oracle to identify the root cause of the issue. Once the root cause has been identified, the system may adjust a process reliability score associated with the faulty computing device or application. By generating process reliability scores for the various computing devices and applications within the network environment, the architecture of the network environment may be modified by selectively including components that function reliably.

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.

Aspects of the disclosure relate to batch processing at distributed servers. A computing platform may receive a first web service request, which may be a request for batch servicing. The computing platform may initiate a batch queue thread manager to process the first web service request, which may initiate a plurality of process threads, each configured to process, at any one time, a single job of the batch servicing. The computing platform may process, using the batch queue thread manager, the first web service request, which may include, by each of the plurality of process threads: 1) processing a first job of the batch servicing, and 2) processing, after completion of the first job, at least a second job of the batch servicing. After completion of the processing of the first web service request, the computing platform may output a response to the first web service request.

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 distributed job service scheduling method, distributed server and service terminal provided by the present invention can be used in the field of big data technology. First, obtain the service scheduling information of each service terminal, and then arrange the service scheduling information into a message pipeline; finally, perform service scheduling on each service terminal according to the message pipeline. It can be seen that through the setting of the message pipeline, the present invention componentizes business functions with tasks as the carrier components, and completes the dependency relationship in the form of a pipeline, solving the problem of job execution with front-back dependency relationships in traditional projects. It reduces the coupling of data synchronization collection and function integration and disassembly between systems, and ensures data consistency. It provides scalability for changes in business rules and upgrades of business architectures in business systems. For the modification and addition of job scheduling, there is no need to modify the business-side application and redeploy it, and it can take effect online. For the extension and change of business rules on the business side, only the pipeline needs to be modified, and there is no need to redeploy the business-side application.

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 invention relates to the technical field of server communication, in particular to a distributed server communication system and method based on RabbitMQ. The distributed server communication system comprises a client module used for performing control operation and data interaction and further comprises a service module in signal connection with the client module, and the service module comprises a Django framework unit and a time service unit which are in signal connection; the data module comprises a Redis service unit, a RabbitMQ message queue unit and a database unit which are in signal connection; the distribution module comprises a node unit; according to the load state and the priority rule of the node, the task allocation strategy is dynamically adjusted, and the resource utilization rate and the overall performance of the system are improved; the RabbitMQ supports a priority queue function, and can sort and preferentially process communication tasks according to a preset priority rule. And tasks with high priorities can be taken out from the queue more quickly and allocated to the node units for execution, so that important tasks can be processed in time.

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.