144 results about "Single server" patented technology

The invention discloses a server network card test method, system and device and a medium. The method comprises the following steps: creating a plurality of network namespaces in a server; mapping physical network cards of the server to different network namespaces respectively; creating one or more pairs of veth virtual network cards among different network namespaces; network parameters are configured, an IP address is configured in each network namespace, and a routing rule is established; a bandwidth test is executed, large-flow data packets are sent among different network namespaces, the throughput rate of data transmission is measured, and the actual bandwidth performance of the network card is calculated; recording the parameters of the data packet in the test process, and analyzing the performance bottleneck of the physical network card; and outputting a bandwidth test report according to the recorded and analyzed data. According to the method, the network card is isolated by using the network namespace in the single server, and the virtual network card is used for realizing data forwarding to complete the bandwidth test of the network card, so that an additional server is not needed, the test cost is remarkably reduced, and the test efficiency is improved.

The invention provides a server energy management method and device based on a BMC (Baseboard Management Controller). The method comprises the following steps: collecting hardware state data of a server in real time through the BMC; preprocessing the hardware state data, removing abnormal values and supplementing missing data to determine standardized hardware data; inputting the standardized hardware data into a load prediction model to determine a load prediction result; generating an energy efficiency evaluation report according to the standardized hardware data and the load prediction result; determining a dynamic energy adjustment strategy based on the energy efficiency evaluation report; and executing the dynamic energy adjustment strategy, and dynamically adjusting hardware operation parameters of the server so as to realize optimization of energy consumption. According to the method, the hardware control capability and the intelligent analysis algorithm of the BMC can be deeply fused, refined, automatic and intelligent management of server energy is realized, the energy utilization efficiency of a single server is remarkably improved, and conversion from extensive power supply to refined energy consumption management is realized.

A system / process provides fault tolerance to an integrated component system which integrates core components of a transaction processing system into a single processing platform, i.e., a single server, enabling elimination of the network interconnects and associated latencies introduced thereby in favor of much faster interconnects, such as inter-process communication and shared memory communication messaging, where a failure of any one component necessitates failing over the entire system to a backup thereof.

The invention discloses a satellite network anomaly detection method based on federated learning, relates to the technical field of satellite network communication, and solves the problems that an existing detection system cannot effectively learn a feature model between data and cannot realize balance of optimal model training and communication overhead. According to the method, an open source data set is preprocessed, a CvT-LSTM model is constructed, a general framework with a single server and K participants is designed, an aggregation strategy based on local data volume and anomaly detection model precision weighting is used, anomaly detection model parameters of a selected client are uploaded to a global model, and after being aggregated by the global model, the anomaly detection model parameters of the selected client are obtained. And issuing to all clients, and the like. According to the method, interference of low-quality data is avoided, transmission and calculation of invalid data are reduced from the source, the communication cost is remarkably reduced, only the high-representativeness client participates in global model aggregation, and the communication burden is reduced to the maximum extent while the model performance is ensured.

The invention discloses a metadata management method and device, electronic equipment and a storage medium, and relates to the technical field of data storage, and the method comprises the steps: receiving a metadata operation request sent by a client, determining a target logic partition based on a mapping relation between an identifier and the logic partition, and determining a target physical sub-book group through a mapping relationship between the logic partition and the physical sub-book group, and selecting a target storage node to process the metadata operation request based on the storage node state information in the target physical sub-book group. According to the method, the most suitable storage node can be intelligently determined to execute the metadata operation by introducing a mapping mechanism between the identifier and the logic partition as well as between the logic partition and the physical sub-book group and combining the state information of the storage node; the problems that in traditional metadata management, a single server becomes a performance bottleneck and data searching and maintaining efficiency is low are solved, and the technical effects of improving system performance, improving data processing efficiency and enhancing system reliability are achieved.

The invention provides a PLC integrated digital twinning control enhancement system and method, and relates to the technical field of cloud PLC control, a PLC integrated development environment module comprises an instruction set generation unit, a digital twinning function plug-in library and a PLC compiler unit which are connected in sequence, the instruction set generation unit comprises an FB library, a PLC control instruction generation unit, a control instruction mapping form and a server intermediate variable set which are connected in sequence; the PLC operating environment module comprises a protocol processing unit, a PLC main control logic unit and a server driving program which are connected in sequence, the PLC main control logic unit comprises a DT decision triggering subunit, and the server driving program comprises a strategy control subprogram and a virtual control instruction sending subprogram; the DT decision triggering subunit is connected with the server driving program; and the PLC virtual space module comprises a client driving unit, a virtual IO management unit and a data analysis unit which are connected with one another.

The invention relates to the technical field of heat dissipation management, in particular to a multi-modal sensing network cooling management system and method based on AI, and the system comprises a task heat load classification module, a fluid inertia compensation regulation and control module, a heat dissipation contribution degree evaluation module, a cooling strategy sharing optimization module and a cluster heat management federation calculation module. According to the method, by analyzing the ratio of the task calculation period to the power consumption cumulant and subdividing the task thermal load, cooling parameter adjustment better meets the actual thermal load requirement, targeted cooling measures can be implemented according to different task types, the heat dissipation efficiency is improved, and by adjusting the cooling strategy in real time, the cooling efficiency is improved. The cooling strategy is optimized based on the heat dissipation contribution degree, the overall energy efficiency and reliability of the server are effectively improved, optimization is achieved in a single server through federated calculation of cluster heat management, optimal configuration of cooling parameters is achieved in a whole server cluster through a federated learning mechanism, and the reliability of the server is improved. And the overall performance and stability are ensured.

The invention relates to an A / B test problem response method and device based on a large model agent, and relates to the technical field of large models, agents and computers. The method comprises the steps of displaying an intelligent interaction page associated with an intelligent agent in response to a triggering operation on an intelligent agent identifier in an A / B test platform; in response to a work order creation operation in the intelligent interaction page, intercepting a target work order request corresponding to the work order creation operation sent to a work order server, and judging whether an intelligent agent can process a target problem in a target work order corresponding to the work order creation operation; acquiring a first similar question and a target answer corresponding to the first similar question in a question and answer knowledge base through a large model under the condition that the intelligent agent can process the target question; and displaying the target answer on the intelligent interaction page. Therefore, work orders submitted by the user can be reduced, waste of platform resources is reduced, the problem response speed and efficiency can be improved, and the use experience of the user is improved.

The invention discloses a server case unit and a server cabinet, and relates to the technical field of servers, the server case unit comprises a computing node and a switching node, the computing node is orthogonally connected with the switching node, the switching node is provided with a data interface, the data interface is used for being connected with another data interface, and the computing node is connected with the switching node. The computing node is used for realizing networking among a plurality of server case units, the computing node comprises an external interface group, and at least one external interface in the external interface group is used for being connected with a server machine head, so that the ratio of the computing node to the server machine head is adjusted. Through the design of the modularized server case unit, a single server case unit can be used as an independent high-density reasoning server; and convenient networking can be performed in the server cabinet through the data interface on the back surface of the server case unit, so that a large-scale training cluster can be constructed. And an external interface group is designed in the computing node, so that the flexible configuration of the ratio between the server head and the computing node is realized.

The invention provides a bullet screen live broadcast interaction method, a server, a program product and a storage medium, and relates to the technical field of real-time communication and online live broadcast. High-concurrency bottlenecks which are prone to occurring under an original centralized service architecture are processed in a decentralized mode, a single server and a synchronous service cluster are not relied on any more, the system is only responsible for data synchronization and state synchronization between a client side and a server side, long connection communication between the client side and the server side is maintained, and specific service logic is not executed; and the business service cluster is responsible for processing all back-end business logics and decoupling connection maintenance and business processing, so that the problem of long connection interruption of all users caused by business service restarting or faults is avoided. The service stability and high availability of the system in a multi-user live broadcast scene are improved, the user does not perceive abnormal conditions in the live broadcast process, and the user experience is improved.

A system / process provides fault tolerance to an integrated component system which integrates core components of a transaction processing system into a single processing platform, i.e., a single server, enabling elimination of the network interconnects and associated latencies introduced thereby in favor of much faster interconnects, such as inter-process communication and shared memory communication messaging, where a failure of any one component necessitates failing over the entire system to a backup thereof.

This invention provides a dynamic update method for single-server preprocessing of Private Information Retrieval (PIR), including an offline preprocessing stage, a dynamic database update stage, an online query stage, and an update stage. Based on the existing single-server preprocessing PIR retrieval scheme Piano, this invention adds support for dynamic database operations, supporting CRUD (Create, Read, Update) operations on the database. Unlike the cumbersome preprocessing work of comparable schemes, this invention introduces incremental preprocessing technology, allowing the original preprocessing to continue to be used after database changes, while incurring update costs proportional to the number of changes, rather than proportional to the size of the database. Compared to existing technologies, this invention reduces total communication costs, client computation time, and client storage space.

The invention provides a multi-keyword private information retrieval method and system based on inverted indexes, and belongs to the field of information security and privacy computing. The method comprises the following steps that: a server splits an original database into a reverse index part of a keyword-index set and a key value pair part of an index-data value; mapping the index set into an integer by utilizing Godel coding; processing the data by adopting probability batch coding and binary random linear coding and publishing a hash function; the client maps a multi-keyword query into a bucket by using a hash function to generate a query vector, and the query vector is sent to the server after being subjected to fully homomorphic encryption; the server performs homomorphic calculation on a matching result in a ciphertext state and returns the result; and the client obtains a matching index set after decryption verification, and then initiates a second round of query to obtain final data. According to the method, symmetric privacy protection of multi-keyword non-primary key query in a single-server environment is realized, leakage of query content and database information is effectively prevented, and private information retrieval security is improved.

The invention discloses a dynamic single-server client preprocessing private information retrieval method, and belongs to the technical field of private information retrieval. The method comprises a preprocessing stage: a client generates a private prompt and stores the private prompt in a local device; a query and response stage: the client accelerates query by using a private prompt; in the refreshing stage, the client repositions the used private prompt and updates the private prompt stored locally; and a dynamic updating stage: when the server updates or deletes the original data item or adds a new data item, the client directly updates the private prompt stored locally. According to the method, the client storage time and the server online calculation time are optimally balanced, and meanwhile, efficient updating of the dynamic database is supported. And when the database of the server dynamically changes, the private prompt stored in the local equipment of the client can be updated within the expected PRP calling time, so that the private prompt updating efficiency in a dynamic database scene is remarkably improved.

The application discloses a socket.io-based message pushing method and device and related components. The message pushing method comprises deploying a load balancer and multiple socket.io server nodes, establishing a connection between a terminal device and any of the socket.io server nodes through the load balancer, integrating a Kafka message queue into each socket.io server node, and using the Kafka message queue execution platform to perform a message pushing process to the terminal device. The application uses the load balancer to distribute the connection requests of a large number of terminal devices to different socket.io server nodes, disperses the connection pressure of a single server, and improves the connection stability of each socket.io server node and the terminal device. Moreover, the integration of the Kafka message queue can timely locate the socket.io server node connected to the target terminal device, and then accurately push the message to the target terminal device through the socket.io server node, thereby improving the pushing efficiency and accuracy in the scenario of a large number of devices.

The present application belongs to the field of testing technology and discloses a method, electronic device, and computer-readable storage medium for testing a work order system. The method includes: upon receiving a test start instruction, each work order client sends a work order creation request to a work order server; and upon receiving a work order operation task sent by the work order server, executing the work order operation task and returning the operation execution result to the work order server; upon receiving a work order creation request sent by any work order client, the work order server creates a work order and sends a work order assignment task to one of the work order clients; and upon receiving an operation execution result returned by any work order client based on the received work order operation task, sending the next work order operation task to one of the work order clients based on the operation execution result, and performing performance monitoring to obtain performance test data. In this way, costs are reduced and test accuracy is improved.

The invention discloses a method for starting up a field device (FG1, FG2), comprising the following steps carried out by the manufacturer of the field device (FG1, FG2): operating a ticket server (TS); and linking the field device (FG1, FG2) to the ticket server (TS), the field device (FG1, FG2) having no account; and comprising the following steps carried out by the operator: creating an account having access data and having specific access rights, in particular having a user name and a password, and assigning the account to the field device (FG1, FG2) by means of the ticket server (TS); generating one or more tickets (T) by means of the ticket server (TS) for the new account; transporting the ticket (T) to the field device (FG1, FG2); checking the ticket (T), by means of the field device (FG1, FG2), as to whether the ticket (T) was actually created by the ticket server (TS); storing the account on the field device (FG1, FG2) if the check is positive; and granting access to the field device (FG1, FG2) in accordance with the access rights after successful login with the access data on the field device (FG1, FG2) by the user. The invention also discloses a system for carrying out the method.

The invention provides a risk list supervision system and method, the risk list supervision system comprises a database, a risk analysis unit, a risk list generation unit and a server, the database is used for storing account data of accounts and transaction cash flow data; a transaction risk model of the risk analysis unit is used for analyzing transaction cash flow data to generate at least one risk factor corresponding to the transaction cash flow data and calculating the weight of the at least one risk factor to generate a risk score, and when the risk score is larger than a risk standard threshold value, the risk list generation unit generates and sends a risk account list, and the risk account list is used for generating a risk account. The server marks the account corresponding to the account data in the risk account list as a temporary forbidden state; therefore, the risk list supervision system provided by the invention can identify the high-risk account timely, efficiently, quickly and automatically, so as to improve the efficiency and reduce the labor cost.

The application provides a display device and display system capable of displaying information of each node in a server, comprising: a display terminal, which is installed in a monitoring cabinet and is provided with a plurality of USB interfaces at the rear end of the cabinet; the display terminal is in communication connection with each USB interface through a cable, and each USB interface is connected with a server node; each server node is configured with an IP address of an I2C protocol; the display terminal is connected with the server node and communicates with a BMC module of the server node through the I2C protocol. The BMC module of each server node is an information acquisition party of a node state, and the BMC module sends the node state information to the display terminal; the display terminal is an information receiving party of each node state, receives the node state information sent by the BMC module, and displays the information in real time. Through the application, a computer room operation and maintenance personnel can check the information of a single server node in the cabinet without going back to the console to check.

The invention relates to the technical field of hydraulic engineering monitoring, in particular to a hydraulic engineering operation state intelligent diagnosis system based on big data. A hydraulic engineering operation state intelligent diagnosis system based on big data comprises a multi-source data perception and fusion module which constructs a real-time data acquisition network covering basin hydraulic engineering total factors through a plurality of engineering detection devices and an environment perception terminal, acquires engineering environment data, and sends the engineering environment data to a cloud server; engineering environment data are processed through edge computing nodes, and then multi-source heterogeneous data are subjected to fusion governance by using a Hadoop / Spark big data platform; a diagnosis scoring module, a toughness evaluation module, an edge-cloud collaborative computing module and an intelligent decision early warning module. According to the method, a parallel special server is arranged through an innovative hardware architecture, multi-dimensional specialized synchronous calculation is realized, the processing bottleneck of a single server is effectively broken through, and a stable physical basis is constructed for cluster collaborative diagnosis.

A method for improving the production efficiency of a digital printing linkage line comprises the following steps that 1, in a client side, the carton size and a pdf printing file are input, and an order is submitted; 2, the server receives the order and gives a URL (Uniform Resource Locator) of the pdf; 3, printing a production work order, wherein a two-dimensional code on the work order comprises order information; 4, the digital printing linkage line is composed of a digital printer, a front edge paper feeder and a grooving machine; the digital computer is interconnected with the PLC, the leading edge PLC and the grooving machine PLC through a local area network, 5, the digital computer scans a code work order and sends order information to each PLC module on the local area network; each PLC module receives the order information and automatically calls the order; the digital computer automatically downloads the pdf and carries out sharpening processing; and 6, production can be carried out after order adjustment of each module is finished. Paper feeding is started, and paper feeding, printing and grooving procedures of paper sheets are completed at a time through the linkage line; a worker only needs to scan the code once during carton production, parameters do not need to be input manually, and the production speed is increased.

To enable issuers to offer a variety of services without burdening merchants or acquirers. [Solution] The credit management method of the present invention includes the steps of: when a commercial transaction occurs, the issuer server receives transaction information from an acquirer server which contains merchant identification information that identifies a merchant where the commercial transaction took place, the credit card number used in the commercial transaction, and acquirer identification information that identifies an acquirer server which received the transaction information from the merchant terminal; and the issuer server notifies the acquirer server of the credit result for the received transaction information and stores the commercial transaction separately from other commercial transactions if the combination defined by the credit card number, the acquirer identification information, and the merchant identification information matches predetermined conditions.

This invention discloses a cryptographic generation system, method, and apparatus based on distributed quasi-prime numbers. A second server randomly determines a second random integer within a second numerical range that satisfies a preset second extraction condition. When each third modulo result and each corresponding fourth modulo result of the second random integer satisfies a preset second synthesis condition, a quasi-prime number is determined based on the second random integer and a first random integer determined by the first server. The first random integer is an integer randomly determined by the first server within a first numerical range that satisfies the preset first extraction condition, and each corresponding first modulo result and each corresponding second modulo result satisfies the preset first synthesis condition. The first and second servers only need to communicate once to determine the quasi-prime number, reducing communication resources and the resources required for a single server to determine the quasi-prime number, improving the efficiency of prime number generation, and thus improving cryptographic generation efficiency.

This invention relates to a multi-point concurrent UDP bandwidth measurement method, apparatus, and storage medium, applied in the field of network communication technology. It includes: concurrently connecting a client to multiple speed test servers and aggregating and calculating test data from all paths, effectively avoiding interference from momentary congestion of a single network path or load bottlenecks of a single server on the measurement results, enabling the measurement results to more realistically and stably reflect the client's local network access limit capacity; employing a two-stage rate control algorithm combining "target verification and binary search," first attempting to verify the user's expected target bandwidth. If network conditions are good, the test can be completed in one go, greatly improving efficiency; if the target is not achieved, binary search is used to quickly approach and converge to the limit bandwidth value within a fixed number of rounds. This automated detection process significantly improves testing efficiency and automation.

The present application relates to the technical field of water cooling heat dissipation, in particular to a server water cooling heat dissipation online control method, system and device. The method analyzes the response correlation between the flow data and load monitoring in the cooling branch of a single server node, combines the change trend between the cooling liquid flow data and the temperature data of the server node, and evaluates the thermal response matching degree. According to the relationship between the thermal response matching degree of the server nodes and the temperature difference change of the inlet and outlet pipes, the heat transfer balance deviation is analyzed. According to the synchronous response of the loop pressure data change in each server node branch, the control deviation influence coefficient is obtained, and the cooling liquid distribution is regulated and controlled comprehensively. The present application adjusts the cooling liquid distribution control of different nodes by periodically monitoring the heat dissipation balance and execution response between nodes, improves the reasonable balance of the cooling liquid distribution in the water cooling heat dissipation process, and reduces the system energy consumption.

The invention discloses a message pushing method and device based on Socket.io and a related component. The message pushing method comprises the steps that a load balancer and a plurality of Socket.io server nodes are deployed, and connection between terminal equipment and any one of the Socket.io server nodes is established through the load balancer; and integrating a Kafka message queue into each socket. Io server node, and executing a message pushing process of a platform to the terminal equipment by utilizing the Kafka message queue. According to the method, the load balancer is utilized to distribute the connection requests of the massive terminal equipment to different socket.io server nodes, so that the connection pressure of a single server is dispersed, and the connection stability of each socket.io server node and the terminal equipment is improved. And the Socket.io server node connected with the target terminal equipment can be positioned in time by integrating the Kafka message queue, so that the message is accurately pushed to the target terminal equipment through the Socket.io server node, and the pushing efficiency and accuracy in a massive equipment scene are improved.

The invention discloses a session keeping method and device in a load balancing system, equipment and a medium, and relates to the technical field of cloud computing, and the method comprises the steps: receiving and analyzing a client request to obtain a quintuple corresponding to the client request, and querying whether corresponding cache data exists in a shared memory cache; if not, acquiring a hash value corresponding to the client request based on a target hash algorithm, and acquiring a first target index value from a preset annular hash space based on the hash value; determining a first target upstream server corresponding to the client request according to the first target index value; whether the first target upstream server is abnormal or not is judged, if the first target upstream server is abnormal, a second target index value is searched backwards in sequence based on the first target index value, and the client request is sent to the corresponding second target upstream server. The index values are randomly distributed in the annular hash space, so that the problem of overlarge pressure of a single server is avoided.

The application provides an implementation method for limiting the bandwidth of IPv6, wherein the address of the IPV6 is placed on a CVK virtual machine or a single server in a VPC network; when the IPV6 accesses an external network, the data packet flow path is Leaf switch, Spine switch, VPC border firewall, Internet interface and router in sequence; the router and the VPC border firewall limit the bandwidth and flow of the IPV6; when the IPV6 is sold, the shared bandwidth is added; and when the IPV6 stops serving, the shared bandwidth is removed. The application has the beneficial effect that the router and the VPC border firewall are used to limit the bandwidth and flow of the IPV6, and the QOS strategy of the uplink and downlink ports on the router is used to realize the purpose of the flow limitation and flow statistics selling of the IPV6.

The invention discloses a multi-dimensional performance evaluation method and system for a computing power server, and relates to the field of server performance data analysis. According to the multi-dimensional performance evaluation method and system for the computing power server, existing computing power server resources are constructed into a single server system, a server cluster system and a server distributed system; selecting a server system most suitable for running the task according to the characteristics of the test task, and selecting an optimal value from four dimension indexes of deployment time consumption, running time consumption, upgrading time consumption and unloading time consumption to evaluate the performance of the existing computing power server; comprehensiveness of performance testing and full utilization of existing resources are achieved, and the final evaluation result can reflect the optimal performance state which can be achieved under the existing computing power server resource condition; and the accuracy of the performance test is improved.

The invention relates to the technical field of water-cooling heat dissipation, in particular to a server water-cooling heat dissipation online control method, system and device. According to the method, the thermal response matching degree is evaluated by analyzing response association between flow data and load monitoring in a cooling branch of a single server node and combining the change trend between cooling liquid flow data in a current node and temperature data of the server node; according to the thermal response matching degree between the server nodes and the relation between the temperature difference changes of the inlet and outlet pipelines, the heat transfer balance deviation is analyzed; according to the synchronous response condition of loop pressure data change in each server node branch, a control deviation influence coefficient is obtained, and cooling liquid distribution is regulated and controlled by integrating heat transfer balance deviation. The cooling liquid distribution control of different nodes is adjusted by periodically monitoring the heat dissipation balance condition and the execution response condition between the nodes, the reasonable balance of cooling liquid distribution in the water-cooling heat dissipation process is improved, and the system energy consumption is reduced.