189 results about "Connection number" patented technology

The invention provides a method for generating an active immune defense strategy under cloud-side cooperation, and the method comprises the steps: obtaining the state information of edge nodes in a cloud-side cooperation environment, carrying out the analysis of the node resource occupancy rate, network flow, and connection number key indexes, obtaining a node feature vector, and uploading the node feature vector to a cloud end; on the edge nodes, carrying out propagation speed evaluation and influence range analysis on potential malicious nodes, judging the diffusion trend of a high-risk threat, if the threat is in a rapid diffusion situation, executing complete isolation and network cut-off operations, and reporting the disposal situation to the cloud; in a cloud-side collaborative environment, recording historical behaviors and threat response conditions of each node, and identifying potential novel variant threats by calculating variant threat similarity; and updating the active immune rule base and the threat feature classification system of the cloud according to the result of the threat response and the newly discovered threat features by adopting a rule base dynamic updating mechanism, and synchronizing the updating to the edge node.

The invention provides a performance optimization method and system for cross-data-source paging query, and relates to the technical field of data processing, and the method comprises the steps: calculating a data distribution weight and a data source routing table, determining an optimal data access path, and splitting a paging query request into sub-query tasks; dynamically adjusting the number of parallel query threads based on the load state and distributing sub-query tasks; establishing a local index and adaptively adjusting an index structure; dynamically adjusting the connection number of the connection pool and acquiring data in batches; performing feature analysis according to a query result, determining the size of a data fragment, and selecting an optimal merging strategy to merge the data; constructing a cache access mode graph, and aggregating and storing related data based on the access association degree; and optimizing a performance strategy set through reinforcement learning, adjusting a cache updating interval, a data access path and a feature matrix, and finally obtaining a query result. According to the method, the cross-data-source paging query efficiency can be effectively improved, the query delay is reduced, and the overall performance of the system is improved.

The invention provides a large language model load balancing method and device, electronic equipment, a medium and a product, and belongs to the technical field of data processing.The method comprises the steps that a service request of an external system is received, and the connection number of each available service instance in a large language model is determined; determining the service instance with the minimum connection number in the available service instances as a target service instance; and forwarding the service request to the instance address of the target service instance. According to the method and the device, the request management is performed for the connection number of each service instance, so that the load balance of each service instance is ensured on the basis of controlling the connection number of each service instance, and the instance-level load balance is realized, and therefore, the streaming transmission interaction quality of the large language model can be improved.

The invention relates to the technical field of interphone communication, in particular to a method and system for achieving communication between a public network interphone and a DMR interphone, and the method comprises the following steps: collecting user position data and communication records, measuring the signal strength and the network congestion degree of the public network interphone and the DMR interphone, and analyzing network performance indexes; and comparing the signal quality, the delay and the bandwidth utilization rate to generate network performance comparison data. According to the invention, the time delay and the packet loss rate of the network are calculated, the network state is accurately predicted, the basis for adjusting the communication priority according to the communication behavior and the emergency degree is provided for the user, the resource allocation is optimized, the most suitable public network and DMR network are selected for switching operation, and the bandwidth and the connection number are dynamically adjusted. The utilization efficiency of network resources is improved, the reliability and the real-time performance of communication are enhanced, timely transmission of information and smooth operation are ensured, and the efficiency and the quality of cross-platform and cross-network communication are improved.

The invention discloses a high-concurrency real-time message pushing system and method based on an SSE protocol, and relates to the technical field of communication. Comprising the steps of 1, establishing a high-concurrency real-time message pushing system, 2, performing access, heartbeat detection, connection state management and load balancing of a client through an access module, performing dynamic strategy allocation based on tenant ID hash through a load balancer of the access module, routing client requests to different SSE servers, and sending the client requests to the SSE servers. 3, caching and routing management of messages are carried out through a message management module, distributed message middleware kafka is used as a cache queue through the message management module, real-time messages sent by a service system are received, and the messages are stored in a classified mode according to top and Tenant; the connection metadata comprises a connection ID, a client subscription topic and a timestamp, and step 5, monitoring the connection number of each node in real time through a monitoring module, triggering connection migration and message reissuing when the node fails, removing the information of the failed node, and notifying a load balancer to route the original connection to other nodes. And meanwhile, the message management module is notified to re-push the message which is not successfully pushed by the fault node to the new node, so that the message is prevented from being lost.

The invention provides a dynamic database connection pool adjustment method and system, and relates to the technical field of computers, and the method comprises the steps: collecting the operation state data of a target dynamic database connection pool in real time, and sending the data to a configuration center; the configuration center determines a connection number adjustment index based on the received operation state data of the connection pool in combination with a connection request of the current target dynamic database connection pool; and based on the connection number adjustment index, the configuration center dynamically updates the maximum connection number of the connection pool, and notifies the connection pool module to update. The operation state data of the target dynamic database connection pool acquired in real time is calculated by using the configuration center in combination with the connection request to obtain the connection number adjustment index, and then the maximum connection number of the connection pool is dynamically updated by using the connection number adjustment index, so that the external service capability of the connection pool is effectively improved, and stable operation of a service system is ensured.

The invention introduces an unlimited multi-terminal connection Bluetooth audio system based on a broadcast technology, and aims to break through the limitation of a traditional Bluetooth audio system on the equipment connection number and tone quality transmission. By utilizing the technology, the system supports seamless connection with an infinite number of playing terminals, the application range is greatly expanded, and the connection flexibility is improved. The LC3 audio decoding technology integrated in the system significantly improves the quality and efficiency of audio transmission, and ensures excellent auditory experience. Besides, the equipped digital power amplifier and the Bluetooth main control chip allow a user to flexibly process and optimize audio output of each channel through an advanced frequency division control technology, and support independent or combined sound channel output setting. The design of the system not only adapts to household and commercial environments, but also can be widely applied to scenes such as public speech and multi-room music playing, the functionality and operation convenience of the audio system are greatly improved, and the new possibility of the Bluetooth audio technology in multiple scenes is developed.

The invention provides a digital enterprise management data storage method and system based on cloud computing, and the method comprises the steps: obtaining a real-time management data set in an enterprise data flow, generating a virtualized storage node, determining a target encrypted fragment index matched with the virtualized storage node according to a preset storage path optimization model, and storing the target encrypted fragment index into a database; based on a dynamic storage path corresponding to the target encrypted fragment index, segmenting the structured data block and the unstructured data block into encrypted data units distributed across regions, and mapping the encrypted data units to corresponding cloud storage partitions; dynamically distributing storage resources of the cloud storage partitions through a load balancing algorithm, and adjusting priority weights of dynamic storage paths according to real-time flow characteristics; and when an access request of the encrypted data unit is detected, redistributing the concurrent connection number of the cloud storage partitions. According to the method, the collaborative optimization problem of resource allocation and safety efficiency can be solved.

The invention discloses a data transmission method and computer equipment, and relates to the technical field of data transmission. The method comprises the following steps: acquiring a sending work request containing a local sending queue pair number and a work queue element; querying target sending information by taking a local sending queue number as an index; storing the working queue elements and the target sending information as operation contexts into an internal memory of a network card of a request end, and recording corresponding indexes; assembling a target data packet based on the target sending information and the memory index; receiving a feedback data packet of the target data packet and extracting a memory index and a serial number carried by the feedback data packet; if the feedback data packet is a correct confirmation data packet, judging that the sending of the work request is completed and releasing the context; and if the feedback data packet is a confirmation failure data packet, calculating a retransmission data initial address and organizing retransmission. The technical problem that the effective connection number of network cards is limited by hardware resources in the prior art is solved, and the technical effect of supporting large-scale network parallel communication is achieved.

The invention discloses a tracking connection number control method and device of a virtual machine, equipment and a medium, and relates to the technical field of virtualization, the method comprises the following steps: determining a demand tracking connection number of a host machine according to historical tracking connection number information of the host machine; determining a virtual machine distributable tracking connection number of the host machine according to the total tracking connection number upper limit value and the demand tracking connection number of the host machine; adjusting the tracking connection number upper limit value of each virtual machine according to the virtual machine distributable tracking connection number and the tracking connection number of each virtual machine on the host machine; according to the method, the total tracking connection number of the host machine is divided into the tracking connection number of the host machine and the tracking connection number of the virtual machine, and the tracking connection number required by the follow-up host machine can be predicted by utilizing the historical tracking connection number information of the host machine, so that the tracking connection number of the host machine can be predicted under the condition of ensuring normal communication of the host machine. The tracking connection number of the virtual machine is conveniently and effectively controlled, and the resource utilization rate and safety of the host machine are improved.

The invention relates to the technical field of data compression, in particular to a data processing method for large-scale project management, which comprises the following steps: acquiring all characters in water conservancy coded data, de-duplicating all character strings to obtain a character category set, setting character extension scales, and acquiring character connection digital quantity under each character extension scale, arranging the character connection digital quantity to obtain a character connection digital sequence of each character, equally dividing the character connection digital sequence to obtain a deviation value distance set of each character, and obtaining the optimal connection length of each character according to the distribution characteristics of elements in the deviation value distance set; and obtaining the optimal sliding window length of the water conservancy coded data according to the optimal serial length, and completing water conservancy project data compression in combination with an LZ77 algorithm. The invention aims to improve the compression efficiency and compression quality of hydraulic engineering data and realize large-scale project management.

The invention relates to the technical field of micro-services, and discloses an Istio-based inference service global activation connection number limiting method, which comprises the following steps: step 1, when a client request is received, extracting label information in a request header, and carrying out label analysis; 2, after label analysis is completed, threshold value query is conducted, and interface response content is obtained; 3, acquiring real-time load data of the target service, and calculating a real-time dynamic threshold value; 4, performing three-level quota verification from the tenant level, the service level and the instance level; and 5, after three-level quota verification, connection processing is carried out, a connection processing result is reported, and closed-loop feedback is carried out. According to the scheme, a global and intelligent connection number limiting mechanism is constructed in a micro-service architecture, the problems of service overload, resource competition and system stability caused by sudden increase of the connection number in distributed reasoning service are solved, and dynamic sensing, intelligent decision making and accurate control of the reasoning service connection number are achieved.

The invention provides a multi-speech synthesis model bearing method and device based on a virtual GPU, and relates to the technical field of graphics processing units, and the method comprises the steps: carrying out the virtualization processing of a physical graphics processing unit, dividing the physical graphics processing unit into a plurality of virtual processing units with independent video memories and calculation quotas, and combining a resource scheduling mechanism, and deploying the speech synthesis language model instances in a plurality of service containers, and constructing a plurality of speech synthesis model bearing units. After a voice synthesis request is accessed, the scheduling module carries out load balancing according to the request connection number of each bearing unit, the request is distributed to a target bearing unit with the minimum connection number, and a voice generation task is completed by a virtual processing unit bound with the target bearing unit. According to the invention, resource division can be carried out on the physical graphic processing unit, and efficient operation of the multi-speech synthesis model is realized.

The invention relates to the technical field of logistics distribution, and provides a scheduling method and system for collaborative distribution of processing raw materials and finished products, and the method comprises the steps: collecting multi-dimensional data in the distribution of the processing raw materials and the finished products; the multi-dimensional data comprises logistics information and node information; decomposing the logistics information to obtain logistics feature information; the logistics feature information comprises trend feature information, periodic feature information and random feature information; constructing a logistics matrix containing logistics nodes based on the node information, and calculating node feature information; the node feature information comprises an average connection number and an aggregation degree; based on the logistics feature information and the node feature information, designing a scheduling strategy to carry out collaborative distribution scheduling on the processing raw materials and the finished products; therefore, the utilization rate of logistics resources is improved, the response capability to market demands is enhanced, the logistics cost is effectively reduced, the overall efficiency and benefits of logistics distribution are improved, and a more competitive solution is provided for the field of logistics distribution.

The invention relates to a data redistribution method and device, computer equipment, a computer readable storage medium and a computer program product. The method is applied to a first node of a distributed database, and comprises the following steps: receiving a redistribution instruction issued by a coordination node in the distributed database; writing the target data into a sending queue in a first redistribution operator based on the redistribution instruction, and pushing the target data to a second data transceiving process of a second node based on the sending queue in the first redistribution operator and a first data transceiving process; the sending queue of the first redistribution operator and the first data transceiving process share the same memory area; the second node is a remote node; the second data transceiving process and the receiving queue of the second redistribution operator share the same memory area; the receiving queue of the second redistribution operator is used for reading the target data from the second data transceiving process. By adopting the method, the process connection number and the network connection overhead required by data redistribution can be reduced.

The invention discloses an early warning event execution method and device, a storage medium and electronic equipment, and relates to the technical field of cloud computing, and the method comprises the steps: configuring a tracking connection limit number in an initial state for a binding interface of a target virtual machine, and determining a dynamic threshold range according to the tracking connection limit number in the initial state; determining the current tracking connection number of the binding interface according to the network data message received by the binding interface; and determining whether to execute an early warning event or not according to a first size relationship between the current tracking connection number and the tracking connection limit number in the initial state and a second size relationship between the current tracking connection number and the dynamic threshold range. By adopting the technical scheme, the problem that real-time monitoring and intelligent early warning of the connection tracking number of the virtual machine cannot be realized is solved.

The invention relates to a load balancing method and related equipment thereof. The method comprises the following steps: determining a predetermined service deployed by an Internet of Things platform; one or more containers used for realizing predetermined services are configured through a container arrangement engine, a predetermined number of service ports are configured for a container group formed by the one or more containers through the container arrangement engine, and the predetermined number is the number determined according to the number of the Internet of Things devices needing to access the predetermined services; and routing the access request of the Internet of Things equipment for the predetermined service to the container in the container group by using the service port through a pre-constructed load balancer. The problem that the concurrent connection number of the Internet of Things equipment is limited by the LVS server configuration resource and the back-end server resource and is difficult to meet the predetermined requirement is solved.

The invention relates to the technical field of automatic driving inspection, in particular to an automatic driving inspection method and system for a fire-fighting robot, and the method comprises the following steps: obtaining a grid structure to count a connection number channel width and a connection angle mark complex section, extracting a passing path, calculating the overlapping proportion of an original path, and generating a to-be-reconstructed path segment; combining the shortest paths to generate an updated path section sequence, screening the number of intersections and the path length, collecting a fire source dense smoke coordinate, evaluating a heat source and diffusion change, predicting a shielding path section, judging that the path falls into the shielding section, reconstructing a connection path, calculating lengthy length and overlapping times, and generating an automatic driving inspection path through fuzzy comprehensive evaluation and screening. According to the method, complex sections are marked by counting the width and angle of a connection number channel, repeated paths are identified to avoid crossing redundancy, the paths are reconstructed to reduce cross interference, a heat source dense smoke change is evaluated to predict a shielded area, the paths are screened to improve safety and continuity, and path adaptability and execution efficiency are enhanced.

The invention discloses a multi-cloud database consistency automatic inspection method, system and device, and the method specifically comprises the steps: configuring a detection process sequence through an integrated Blockly graphical designer based on early warning information; executing the detection process sequence in an encryption environment, and collecting the instance state, the connection number and the parameter configuration data of the multi-cloud database to form database instance data; analyzing database instance data by using an SHAP framework, and calculating feature importance to locate a root cause causing inconsistency of detection items; and establishing an incidence relation network between the database instance and the application service based on a knowledge graph technology, and positioning an abnormal root cause to a specific service module in combination with the positioned root cause. According to the invention, consistent automatic inspection of the multiple cloud databases is realized, connectivity risks are early warned in advance, abnormal root causes are accurately positioned to specific service modules, and stable operation of the multiple cloud databases is guaranteed.

The invention relates to the technical field of power system automation, and provides a global database connection number control method and system based on an end side, and the method comprises the steps: calling a database connection assembly to achieve the access to a multi-type heterogeneous database service; the method comprises the following steps: transforming a heterogeneous database access component, adding a database connection handle state monitoring function module, and traversing heterogeneous database connection handles and releasing idle overtime database connection according to the current read-write state of the connection handles; when the non-idle database connection handle reaches the timeout time, the database connection is not forcibly released; after the database connection handle is automatically disconnected, the database connection is recovered when the current database connection handle generates the read-write request again; judging whether the current global connection number is out of limit or not, if yes, waiting until idle connection occurs, and then establishing new database connection; and setting the connection timeout time of the request database, and returning the timeout time. The method can be compatible with various types of heterogeneous databases.

The invention provides a distributed current limiting control method and a related device, and relates to the field of current limiting. After the user request is received, if it is judged that the user request needs to be subjected to the flow limiting operation, the flow limiting operation is executed on the user request based on the flow limiting strategy, the problem that the bandwidth of an enterprise core application is occupied due to concurrent resource competition caused by the fact that a CDN cache cluster responds to too high concurrent access flow is avoided, and the CDN service quality is improved. Besides, in the invention, during the current-limiting configuration, the current-limiting strategies of different target cache clusters are the same or different, and the current-limiting strategies of different applications configured in the target cache clusters are the same or different, so that the current-limiting requirements of different clusters or applications can be adapted, and the application range of the distributed current-limiting control method is improved. The method also supports the limitation of the request rate, the limitation of the concurrent connection number and the limitation of the time window request number, and can meet different current limiting demand scenes.

The invention relates to the technical field of concurrent resource optimization, in particular to a concurrent resource optimization method and system, equipment and a medium. The method comprises the following steps: firstly, acquiring a system running state in real time through a resource monitoring interface, and performing idle judgment in combination with multiple dimensions such as a connection number, idle duration and request waiting; then, based on idle detail content, intelligently matching an optimization opportunity, and generating an optimization strategy through dynamic balance of an idle degree and a request density; finally, resource scheduling is carried out on the target optimization area, efficient utilization of concurrent resources is achieved, and user experience is improved.

The invention discloses a method for limiting the number of users capable of being borne by a service through a private certificate, and belongs to the technical field of computer network security and access control, and the method specifically comprises the following steps: S1, generating a private certificate: a certificate generator obtains host information and user demand parameters of service deployment, and carries out symmetric encryption to generate an encrypted private certificate; s2, service deployment and analysis: inputting the encrypted private certificate into a service system, decrypting the certificate by the service system, and analyzing to obtain host information and user demand parameters; initializing a user connection number threshold control module in the service system according to the number of bearable users; s3, user access control: the user terminal initiates a connection request to the service system, and the service system detects the current user connection number in real time and judges whether to access or not; according to the invention, through triple integration of certificate function extension, a dynamic control chain and authority automatic isolation, static authorization of a traditional intercom system is upgraded to a resource sensing type dynamic management and control system.

The invention relates to the technical field of fan monitoring, in particular to a method, a device and a system for monitoring a fan based on a bus and wireless communication, which are characterized in that a serial port server and a fan sensor are electrically connected by adopting a serial port bus, and the serial port server and a central control device are connected by adopting a wireless communication mode. The fan sensor is connected with the central control equipment, so that remote effective monitoring of the fan is realized, wire connection between the fan and the central control equipment can be omitted, and risks of rodent damage, insect damage and mechanical damage are reduced; meanwhile, due to the fact that a wireless communication mode is combined for connection, the fan sensors can be connected with a central control device or connected with a cloud or a local server and then connected with the central control device, a wireless communication protocol based on the Internet of Things technology is adopted, such as an MQTT communication protocol, the connection number of the fan sensors is increased, and therefore the application range is expanded.

The invention belongs to the technical field of data processing, and particularly relates to a lightweight index method, system and equipment for high-dimensional data of edge equipment and a medium. The method comprises the following steps: performing feature variance analysis on high-dimensional vector data, decomposing the high-dimensional vector data into high-order features and low-order features according to a variance contribution degree, and performing primary compression processing on the decomposed high-dimensional vector data; an edge adaptation hierarchy coefficient is obtained according to a set memory threshold value, the maximum hierarchy number of HNSW is obtained, clustering calculation is carried out on first-level compressed high-dimensional vector data to obtain data local density, and data hierarchy distribution is carried out according to a clustering result; the maximum connection number of each layer is set according to the number of levels, a distance pruning threshold value is obtained according to the maximum connection number, pruning processing is carried out on corresponding level data according to the distance pruning threshold value, secondary compression processing is carried out on the processed data by using difference value coding, and secondary compression high-dimensional vector data is compressed. And independently storing the compressed data.

The present application provides a routing method, device, equipment and storage medium based on microservices. The method includes: obtaining the processor utilization rate, memory utilization rate, queue depth and connection number of the node device n under the microservice system m, where m and n are positive integers greater than or equal to 2, the queue depth represents the processing performance of the preset node device n for processing requests, and the connection number represents the number of external connections supported by the port of the node device n; determining the system performance parameter of the node device n based on the processor utilization rate, memory utilization rate, queue depth and connection number; predicting the routing performance parameters of the selected node devices under multiple microservice systems during the routing process based on the system performance parameter and the statistically recorded service request duration; and determining the routing paths corresponding to multiple service requests based on the routing performance parameters if multiple service requests are received.

The invention relates to the technical field of computers, and discloses a large model reasoning service dynamic connection number limiting method based on service attributes, which comprises the following steps of: 1, carrying out initialization setting on service attributes, resource parameters and a weight model; 2, collecting multi-dimensional data, wherein the collected multi-dimensional data comprises load data, service data and resource data; step 3, carrying out data preprocessing and data fusion on the collected multi-dimensional data to form a three-dimensional fusion data set; step 4, calculating a three-dimensional dynamic weight based on the three-dimensional fusion data set; 5, generating a connection number threshold value according to the three-dimensional dynamic weight, and carrying out connection request distribution and over-limit processing; and step 6, forming closed-loop feedback through real-time monitoring, historical backtracking and algorithm tuning. By utilizing the scheme of the invention, the refined management and control of the connection number in the large model reasoning service are realized, and the resource cost is optimized while the high-priority service quality is ensured.

The invention discloses a database dynamic memory estimation method, device and equipment, a medium and a product, relates to the technical field of computer science and can be applied to the field of financial science and technology. Obtaining source database information from a source database; the source database information comprises a total storage process row number, a maximum session connection number and a proportionality coefficient of a single session calling full storage process number; determining a required dynamic memory according to the source database information, the cache function opening condition of the target database and the memory occupation condition of code compilation; and determining the server memory specification of the target database according to the required dynamic memory and the server memory occupied by the database. By adopting the technical scheme, the required dynamic memory is estimated by acquiring the related information of the source database and combining the memory processing mechanism, and a reliable basis is provided for server model selection in the early stage of transformation.

The invention relates to a large-scale heterogeneous multi-attribute equipment scheme clustering decision-making method and a medium. The method comprises the following steps: uniformly converting heterogeneous attribute data in a digital twin decision-making information system into binary connection numbers; determining an attribute weight by adopting an MEREC method, and constructing an attribute non-compensable value based on the attribute weight and the binary connection number; generating a scheme similar network according to the attribute non-compensable value; performing network clustering operation on the scheme similar network, and outputting a scheme clustering result; and based on the scheme clustering result, calculating the comprehensive target distance of the scheme in the cluster by adopting the grey target theory, and fusing the global value of the scheme and the comprehensive target distance to generate a final scheme score. According to the method, the problems of heterogeneous information fusion distortion, attribute non-compensatory mechanism deficiency and low large-scale scheme clustering efficiency in a digital twinborn decision scene are solved by constructing heterogeneous data unification-attribute non-compensatory mechanism modeling-network clustering-intra-cluster decision.

The invention relates to the technical field of computers, and particularly provides a data transmission method and device, equipment, a medium and a product. The method comprises the following steps: receiving a target data transmission task from an FTP client; determining a load distribution weight of each candidate data agent node based on node performance information and node use information of a plurality of candidate data agent nodes obtained from a registration center; determining a target data agent node based on each load distribution weight and the connection number information of each candidate data agent node; and sending the target data transmission task to the target data agent node. And determining a node load utilization rate condition through the node performance information and the node use information of the proxy node so as to determine a load distribution weight of each candidate data proxy node. Therefore, whether each node has spare resources or not can be accurately judged, and all tasks can be prevented from being distributed to the previous nodes with spare resources in combination with the connection number information. Therefore, the data transmission efficiency can be improved.