49 results about "Single server" patented technology

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 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.

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 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 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 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.

The invention discloses an Internet of Things equipment simulation online test method, system and equipment and a medium. The method comprises the steps that information of equipment to be tested is collected and then imported into a database through a data information issuing platform; an equipment simulation module pulls written equipment information from a database to create an event cycle based on syncio, an independent simulator is instantiated for each piece of Internet of Things equipment, an exclusive asynchronous coroutine is created for each simulator, each simulator creates an independent MQTT client side through aiomqtt to monitor a message channel of an instruction issued by an Internet of Things platform, and the message channel is sent to the Internet of Things platform; and analyzing and processing the arrangement task, constructing equipment attributes and event data, and reporting the equipment attributes and event data to the Internet of Things platform. According to the method, a simulator is adopted to replace real equipment for testing, multi-coroutine concurrent scheduling in a single thread is realized through an asycio asynchronous programming architecture and in combination with an aiomqtt asynchronous MQTT client, the thread switching overhead of a traditional synchronous architecture is avoided, a single server can support parallel simulation of more equipment, and the method is simple and convenient to operate. And the online test requirements of massive equipment can be met while the test efficiency is improved.

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 present application relates to the technical field of information security, and especially relates to an index-based single-server anonymous query method, which is applied to an index-based single-server anonymous query system, the system comprising a database server and at least one user terminal in communication connection with the database server, and the method comprising the following steps: S1, an inadvertent transmission protocol between a pre-constructed user terminal and a database server receives a first input query index of a user and returns a decryption parameter corresponding to the query index to the user terminal; S2, the user terminal acquires a query result corresponding to the query index according to the decryption parameter and a grouping data packet sent by the database server to the user terminal; the grouping data packet is obtained by the database server from n stored data by using the Chinese remainder theorem for preprocessing; each stored data comprises data information and a query index corresponding to the data information.

The embodiment of the invention discloses a data distribution method and device, a server and a computer readable storage medium, and the method comprises the steps: a local selective forwarding unit server in a distributed selective forwarding unit server cluster receives target distribution data, and determines regional information of a subscription client corresponding to the target distribution data, determining a target selective forwarding unit server from a distributed selective forwarding unit server cluster based on the regional information, and when determining that the target selective forwarding unit server is a remote selective forwarding unit server, sending the target distribution data to the remote selective forwarding unit server, and sending the target distribution data to the subscription client by the remote selective forwarding unit server in the distributed selective forwarding unit server cluster. Therefore, the technical problem that when a single SFU server accesses clients in different regions, due to remote communication, the real-time data communication quality of the clients is low is solved.

This application discloses a stress testing method, apparatus, device, and computer-readable storage medium, belonging to the field of system performance testing technology. The method includes: determining the concurrency level based on the number of centralized test data sets of the system under test and the number of concurrent processing data sets of a single server in a server cluster; generating a stress testing application corresponding to the server cluster; sending the stress testing application and the concurrency level to the server cluster; and obtaining the stress testing data fed back by the server cluster. The above technical solution can easily obtain the stress testing data fed back by the server cluster and does not require the use of a dedicated stress testing machine, thus simplifying the stress testing method.

The invention provides a network-free service work order processing method and system, a medium and equipment, and relates to the field of information processing. The method comprises the following steps: a work order server receives a work order synchronization instruction sent by a mobile terminal, and extracts corresponding work order synchronization information based on the work order synchronization instruction; the work order server compresses the work order synchronization information to obtain work order compression information, and sends the work order compression information to the mobile terminal; the mobile terminal receives input work order data information, fills the released work order compression information with the work order data information and stores the work order compression information; and the mobile terminal monitors a network connection recovery state, and if the network is recovered, the work order data stored by the mobile terminal is synchronized to the work order server. Compressed work order synchronization information is pushed to the mobile terminal in advance through the work order server, and the mobile terminal locally stores and supports off-line viewing and data filling and storage, so that the dependence of traditional work order processing on a network is thoroughly eliminated, and the operation flexibility is improved.

The application 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 hint and stores the private hint in a local device; a query and response stage: the client uses the private hint to accelerate query; a refreshing stage: the client repositions the used private hint and updates the locally stored private hint; and a dynamic updating stage: when the server updates or deletes original data items or adds new data items, the client directly updates the locally stored private hint. The application realizes the best trade-off between the client storage and the server online calculation time, and supports efficient updating of a dynamic database. When the database of the server dynamically changes, the private hint stored in the local device of the client can be updated within the expected PRP calling time, and the updating efficiency of the private hint in a dynamic database scenario is remarkably improved.

Techniques are described for managing secure connections (e.g., tunnels) between different endpoints using a pod of servers. Instead of computing devices connecting to a single server at a service IP address, the connections are spread among the different servers in the pod that can be reached using a public IP address.

The embodiment of the invention discloses a gateway request processing method and device based on Vert.x and Dubbo and a medium, belongs to the technical field of gateway construction, and solves the problems that in a high-concurrency scene, the number of concurrent connections of a single server of a gateway is difficult to effectively increase, and end-to-end delay is increased. Comprising the following steps: constructing an HTTP server as a communication entrance based on a Vert.x framework, receiving an HTTP request, and analyzing a message into a reference key value pair format based on a message format corresponding to the HTTP request; querying a local routing cache according to the request path, and determining a target Dubbo service and metadata corresponding to the path; based on the metadata of the target Dubbo service, asynchronously calling the message in the reference key value pair format to the target Dubbo service through a Dubbo generalization calling interface, and receiving an asynchronous return result; and converting the asynchronous return result into an HTTP response, and returning the HTTP response to the client through the HTTP server.

The application relates to a method for multi-active deployment of an object storage gateway, an electronic device and a storage medium. The method comprises the following steps: adopting a networking mode of Vxlan over IPSec to realize cross-machine-room networking; deploying a distributed file system module, and configuring Ceph cluster nodes; installing MON units and MGR units in the Ceph cluster through binary installation packages; deploying OSD units in units of single server hard disks; configuring at least three copies for a Ceph cluster copy strategy; installing a lightweight container orchestration module K3S cluster on servers where regional center Ceph nodes are located, and deploying at least three ServerNode nodes; selecting two regional centers to build a high-availability database unit connected with K3SServerNode; mirroring an official RGW unit image in the K3S cluster; and binding a vip address on a load balancing module in each regional center for accessing multiple RGW unit services deployed in the regional center. The method for multi-active deployment of the object storage gateway can realize multi-active functions of a multi-regional center architecture.

The invention provides an efficient heat dissipation device for a computer big data server, and relates to the field of medical instruments. The efficient heat dissipation device for the computer big data server comprises a server terminal main body, a central processing unit and a refrigerator main body, the server terminal main body comprises a plurality of server terminal cabinet bodies, bases are fixedly arranged on the two sides of the upper end of the refrigerator main body, and refrigerating fans are fixedly arranged at the upper ends of the two bases. Multiple heat dissipation mechanisms are utilized, air cooling, air blowing and disassembly are mainly included for efficient heat dissipation, meanwhile, a temperature sensor is arranged, classification detection can be conducted on single server terminal cabinet bodies, when single server terminal cabinet bodies are abnormal, the heat dissipation device can independently conduct heat dissipation on the server terminal cabinet bodies with the abnormal temperature, energy consumption is reduced, and the service life of the server terminal cabinet bodies is prolonged. The problems that an existing heat dissipation device is low in heat dissipation efficiency, heat dissipation is conducted on the whole server terminal at the same time in the heat dissipation process, energy consumption is too large, and too much resources are wasted are solved.

This invention relates to the field of computer technology, specifically disclosing a computing system and its control method, apparatus, device, medium, and switch. A first switch utilizes a high-speed serial computer expansion bus to interconnect accelerator cards located on multiple servers. The first switch obtains the local device address of each accelerator card on the server, configures an address mapping table for each server based on the local device address of each accelerator card, and forwards data between accelerator cards on different servers according to the address mapping table. This effectively solves the problems of limited computing power in a single server and insufficient bandwidth and high latency in interconnecting multiple servers via Ethernet. It realizes cross-server vertical expansion based on a high-speed serial computer expansion bus, improves the bandwidth of cross-server communication, reduces the latency of cross-server communication, and lays the foundation for realizing high-bandwidth domain communication computing clusters with multiple machines and multiple cards.

The invention discloses an electric power data quality checking method and system based on dynamic elastic scheduling, and aims to solve the problems that in the prior art, centralized scheduling cannot process massive electric power data, the checking time consumption is long, the upper limit of parallel tasks is low, and a traditional database is slow in query. The method comprises the following steps of: segmenting data into a plurality of blocks through data volume estimation, single server processing capacity and maximum allowable check duration, and scheduling a plurality of execution servers to perform parallel processing by a container cloud; a distributed storage architecture is adopted, an LSM tree structure is adopted to store check results, and the storage and query efficiency is optimized in combination with an exclusive check result table, LZ4 and ZSTD dual-mode compression, timestamp column value and other fragmentation strategies. According to the electric power data quality checking method and system, the time consumption of data checking is low, the checking result query speed is high, and the problems of timeliness and result query of data checking in the electric power data are effectively solved.

The embodiment of the invention provides a call center capacity evaluation method, a call center capacity evaluation device and related equipment. In the embodiment of the invention, the maximum audio concurrency support capability of a single server and the resource consumption ratio of video to audio can be obtained, and the video traffic proportion of a call center and the call duration ratio of the video to the audio can be obtained; determining the maximum concurrency support capability of a single server under the mixed telephone traffic through a first calculation model, and predicting the total concurrency demand of the call center under the mixed telephone traffic through a second calculation model according to the number of calls per second, the audio call duration, the video telephone traffic proportion and the call duration proportion of the call center; and based on the total concurrency demand and the maximum concurrency support capability of the single server under the mixed telephone traffic, determining a preliminary server demand quantity of the call center, and based on the performance difference correction factor, correcting the preliminary server demand quantity to obtain the corrected server demand quantity of the call center.

The application provides an elevator calling method, system, device and medium, and relates to the technical field of elevator control. The elevator is provided with at least one NFC module. The method comprises the following steps: starting a target application according to a monitored trigger event; the trigger event is an event generated by the NFC module on the user terminal when the user terminal approaches any NFC module in the at least one NFC module; and sending a start notification of the target application to a server, the start notification being used to trigger the server to perform elevator control according to access control of a user account logged into the target application and quick floor configuration. The user terminal is close to the NFC module arranged on the elevator to automatically start the target application, and the user operation is simple. The server can meet the flexible demand of different groups for elevator management according to different login accounts and quick floor configuration, and the convenience is improved. Since the NFC module is arranged on the elevator, the permission control can be realized as long as the terminal is provided with the NFC, and the cost of touchless elevator calling is reduced.

This invention discloses a server temperature control system, comprising: a local heat exchange structure for exchanging heat with high-heat-generating components within the server rack; a rack-level heat exchange structure for exchanging heat with the airflow within the server rack cavity; and an adsorption refrigeration system for absorbing heat from an introduced heat source fluid to prepare a cryogenic fluid, including a heat source fluid inlet for introducing the heat source fluid and a cryogenic fluid outlet for discharging the cryogenic fluid. The local heat exchange structure is capable of exchanging heat with the heat source fluid introduced through the heat source fluid inlet; and the rack-level heat exchange structure is capable of exchanging heat with the cryogenic fluid discharged through the cryogenic fluid outlet. This system can fully utilize the heat source fluid within the server for cooling, effectively reducing energy consumption. Furthermore, for a single server, the high-power and low-power components have consistent operating requirements, which can effectively improve the utilization rate of the adsorption refrigeration system. This invention also discloses a server temperature control method.

The invention provides a privacy information retrieval method and system in a multi-server environment. According to the system, query information is split, encrypted and then stored in a distributed mode through the secret sharing technology, the single-point fault risk of a traditional single-server scheme is effectively overcome, the availability and the transverse expansion capacity of the system are remarkably improved, and the calculation expenditure of a single-point server is not increased. Meanwhile, an encryption method based on the LWE problem is introduced into the method, client fragmentation information is protected, the dependence of an existing scheme on a server non-collusion idealized hypothesis is broken through, original query cannot be restored even if collusion attacks occur, and better high safety is achieved in a real multi-server environment.

This invention belongs to the field of harmonic analysis technology and provides a method and system for harmonic modeling of server clusters based on operating condition clustering. It acquires multi-dimensional operating condition parameters of a single server, preprocesses the acquired data, matches the preprocessed data with a preset equivalent operating condition class of server harmonic characteristics, calls the corresponding dedicated harmonic model, and superimposes them to obtain the harmonic model of the server cluster. If the operating condition parameters do not fall within the parameter range of any preset equivalent operating condition class, it is considered a newly added equivalent operating condition class, and the corresponding dedicated harmonic model is fitted to the dedicated harmonic model library. This invention achieves adaptive calculation of the server cluster harmonic model, reduces the computational complexity of the model, and improves the calculation speed and modeling accuracy.

The invention relates to the field of network communication, and discloses a converged communication server resource scheduling method and system, and the method comprises the steps: receiving a user communication request, and converting a heterogeneous protocol into a standard format in a unified manner through a protocol conversion layer; identifying a target service module based on the request type, wherein the service module comprises at least two of a local regeneration service, a boundary service, a multi-point control unit service and an address book service; querying real-time resource monitoring data, and dynamically allocating CPU cores, memories and network bandwidth resources according to a preset priority strategy; starting a target service instance in a containerized environment, and performing communication between instances through the service grid; and executing the service logic and returning a result, and recording resource consumption data to the performance database. According to the invention, the resource utilization rate of a single server can be improved, and the service quality of multiple services is guaranteed.

The scheme provides a federated learning secure aggregation method and device based on linear audit and on-chain accountability, which comprises: a client trains a to-be-updated model to obtain a model update vector, and generates a masked ciphertext based on the model update vector; a linear audit label is obtained, and the linear audit label is split into a first linear share and a second linear share; an aggregation server aggregates the masked update vector and the first linear share, and an auxiliary server aggregates the masked ciphertext and the second linear share; and the client updates the to-be-updated model based on the aggregation results of the aggregation server and the auxiliary server. The scheme adopts a dual-server separation architecture to aggregate the masked update vector and the masked ciphertext respectively, and a single server cannot obtain the plaintext model update of the client, thereby eliminating the malicious stealing of single-client private data by the server from the architecture.

A server device that is configured to provide service to client devices in a second geographic zone determines that a client device is transitioning from a first geographic zone to the second geographic zone. The server device receives a client device manifest that identifies a configuration of the client device. Based on the client device manifest, the server device determines that the configuration of the client device does not match a policy of the second geographic zone. The server device sends to the client device instructions that, if performed by the client device, will cause the configuration of the client device to match the policy of the second geographic zone.