37 results about "Concurrent user" patented technology

An apparatus and method for generating an interactive graphical user interface are disclosed. The apparatus includes a memory communicatively connected to at least a processor, wherein the memory contains instructions configuring the at least a processor to receive first input data and second input data, identify at least a target datum from the first input data, determine at least an operating parameter from the second input data as a function of the at least a target datum, generate a plurality of tasks as a function of the at least an operating parameter, generate an interactive graphical user interface, wherein generating the interactive graphical user interface includes receiving concurrent user actions for the plurality of task nodes from a plurality of user devices and updating the interactive graphical user interface as a function of the concurrent user actions using an adaptive mechanism.

The invention discloses a big language model reasoning performance evaluation and optimization method, electronic equipment and a storage medium. The method comprises the following steps: initializing a test environment; dynamically generating concurrent user requests; collecting performance data based on the concurrent user requests; performing real-time monitoring and reporting based on the performance data; and generating a performance evaluation report based on the performance data. Through the above steps, the method can comprehensively evaluate the reasoning performance of the LLM in a high-concurrency scene, and ensures the optimal performance of the system in different hardware environments.

The invention discloses a software performance test system, method and device in a high-concurrency scene, and relates to the field of software testing, the system comprises a scene intelligent construction module used for generating a concurrency scene through a behavior tree modeling and time sequence prediction algorithm according to service demand parameters and historical traffic data; the distributed test environment scheduling module is used for constructing a distributed test environment by adopting a container arrangement technology; the virtual user load generation module is used for simulating concurrent user requests by adopting a coroutine pool technology; the real-time performance data acquisition module is used for acquiring multi-source performance data of the tested software in real time; the intelligent performance analysis module is used for calculating a core performance index according to the multi-source performance data and carrying out anomaly detection and trend prediction; and the performance bottleneck positioning module is used for mining a dependency relationship among the core performance indexes and generating a bottleneck positioning report and an optimization suggestion document. According to the method, the accuracy, the efficiency and the stability of software performance testing in a high-concurrency scene are improved.

The invention discloses a cross-platform multi-terminal synchronous translation training service system, which relates to the technical field of computer translation and comprises a quantization synchronization engine, a federal transfer learning framework, a context awareness dynamic adjustment module and a block chain evidence storage network. The problems of real-time synchronization and conflict of multi-terminal operation logs are effectively solved, the improved CRDT algorithm and the design supporting final consistency enable the system to support large-scale concurrent users, and meanwhile low synchronization delay is kept. On the premise of ensuring user privacy, the federal transfer learning framework optimizes a translation model, reduces model precision loss and data leakage risk, and remarkably reduces mobile terminal training energy consumption at the same time. And the situation awareness dynamic adjustment module realizes the function of adjusting the training difficulty in real time according to the cognitive load of the user by fusing physiological and behavior data, and further improves the user experience.

An apparatus and method for generating an interactive graphical user interface are disclosed. The apparatus includes a memory communicatively connected to at least a processor, wherein the memory contains instructions configuring the at least a processor to receive first input data and second input data, identify at least a target datum from the first input data, determine at least an operating parameter from the second input data as a function of the at least a target datum, generate a plurality of tasks as a function of the at least an operating parameter, generate an interactive graphical user interface, wherein generating the interactive graphical user interface includes receiving concurrent user actions for the plurality of task nodes from a plurality of user devices and updating the interactive graphical user interface as a function of the concurrent user actions using an adaptive mechanism.

This invention discloses a multi-threaded dynamic task execution method and system. The method includes: receiving an original task processing request containing formatted task data; generating a task processing request to be executed based on the original task processing request; creating a thread for the formatted task data in the task processing request to be executed and enabling a thread lock; processing the formatted task data with the thread lock enabled to generate formatted task data to be segmented; when the number of formatted task data to be segmented exceeds a set threshold for the amount of task data to be executed by a single thread, segmenting the formatted task data to be segmented according to a pre-set task data segmentation rule to generate multiple task datasets; and executing the formatted task data in the multiple task datasets using multiple threads according to a set number of threads that can be enabled. This method and system reduce the number of interactions and improve response efficiency when there are a large number of concurrent user requests.

This invention discloses a data model-driven digital human emotion guidance method, belonging to the fields of artificial intelligence and human-computer interaction. It extracts emotional features from speech and text separately using a lightweight gated convolutional network and a pre-trained model incorporating multi-head self-attention, and aligns emotional semantics using a cross-modal attention mechanism to obtain fused features. Based on these features, user emotions are identified, and emotional guidance instructions are generated using a knowledge base to drive the digital human to output emotional voice feedback. Efficient message synchronization in high-concurrency scenarios is achieved through a NATS message middleware based on a publish / subscribe model, and a dual-mode approach is introduced to ensure interaction continuity. This invention significantly improves the accuracy of emotion recognition and the naturalness of feedback, while achieving extremely low CPU utilization and high network throughput with limited hardware resources, stably supporting tens of thousands of concurrent users.

This invention provides a system and method for verifying system interfaces based on artificial intelligence, relating to the field of interface verification technology. The method includes: acquiring historical concurrent user counts, historical system performance data, and historical load impact data; acquiring system interface architecture data and historical system interface architecture data; acquiring real-time load impact data; determining a concurrent user count relationship function based on historical concurrent user counts and historical load impact data; determining the predicted concurrent user count for a prediction period based on the real-time load impact data and the concurrent user count relationship function; obtaining a trained system performance prediction model; processing the predicted concurrent user counts and system interface architecture data according to the trained system performance prediction model to obtain predicted system performance coefficients; and generating a system interface verification report based on the predicted system performance coefficients. According to this invention, the accuracy of system interface verification can be improved.

The invention provides an applet high-concurrency request processing method and system, and relates to the technical field of computer data. The method comprises the following steps: firstly, receiving a high-concurrency user request from an applet front end to generate request feature information; secondly, inputting the request feature information into a pre-trained shunting model, identifying a service type, and marking a user request according to an obtained identification result to obtain a target request stream; inputting the target request stream into a cache decision module, and processing the target request stream according to a determined cache hierarchy corresponding to the user request to output a cache result; inputting the cache result and a preset system load parameter into a load balancer to generate a resource scheduling instruction; and finally, according to the target request stream, the cache result and the resource scheduling instruction, performing cooperative processing on the user request in the target scene. According to the technical scheme provided by the invention, accurate and efficient processing of user requests and adaptive optimization of system resources in a high-concurrency scene are realized.

The embodiment of the invention provides a resource allocation method and device, a storage medium and a program product. In the method, a resource display page pointed by an access link published by an online transaction platform is displayed, a resource participation request is initiated, and multi-source behavior data of users are uploaded, so that the platform identifies participation willingness information and screens candidate users, the scale of the users participating in resource allocation concurrently by the platform is reasonably controlled, and stable operation of the platform is guaranteed; after a user is selected as a candidate, platform page resource information can be received, and an interactive dynamic page containing a resource allocation control and options is rendered and displayed; in resource allocation, a latest resource allocation option regenerated by a platform based on a seller negotiation reference value is received, a page option is updated, a new round of resource allocation request is initiated in response to user operation, irrational and tentative operation of a user is effectively avoided based on accurate interaction with the platform, invalid resource allocation requests are reduced, sharp increase of a quotation round is restrained, and resource allocation efficiency is improved. The high-concurrency pressure of the platform is relieved, and stable operation of the platform is further guaranteed.

The embodiment of the invention discloses a test method and device for simulating multi-user login, a storage medium and a program product. The method comprises the following steps: constructing a test command at a test end, and configuring a tested end identifier, a user name prefix, a serial number initial value and a login number to the test command; initiating the ith round of test by executing the test command, wherein the initial value of i is 1; in the ith round of test, an authentication login request of the user is simulated based on the user name prefix, the number initial value and the login number, and the authentication login request is sent to the tested end based on the tested end identifier; monitoring whether the number of concurrent users of the tested end is in an increasing state or not in real time; if not, the maximum concurrent user number is obtained and serves as the concurrent authentication login capacity of the tested end, and the test is ended; if yes, updating the test command based on the test information, and executing a new test command, i = i + 1. According to the method, the multi-user concurrent login can be simulated by executing and updating the test command, and the multi-user concurrent login performance of the tested end can be automatically tested.

An apparatus and method for generating an interactive graphical user interface are disclosed. The apparatus includes a memory communicatively connected to at least a processor, wherein the memory contains instructions configuring the at least a processor to receive first input data and second input data, identify at least a target datum from the first input data, determine at least an operating parameter from the second input data as a function of the at least a target datum, generate a plurality of tasks as a function of the at least an operating parameter, generate an interactive graphical user interface, wherein generating the interactive graphical user interface includes receiving concurrent user actions for the plurality of task nodes from a plurality of user devices and updating the interactive graphical user interface as a function of the concurrent user actions using an adaptive mechanism.

The invention provides a pressure testing system and a pressure testing method.The pressure testing system comprises a monitoring module, a code scanning module and an analysis module, the code scanning module receives a pressure testing request and conducts pressure testing on an item corresponding to the pressure testing request based on the pressure testing request, and the analysis module analyzes the pressure testing request according to the pressure testing request; obtaining pressure test data, the pressure test request being transmitted through at least two connection modes; the monitoring module obtains the pressure test data in the code scanning module and sends the pressure test data to the analysis module; and the analysis module is used for receiving the target test data sent by the monitoring module and generating a pressure test result chart based on the target test data. Scenes such as a large number of concurrent users and high data loads are simulated through a pressure test system, the scalability of a project under different loads is verified, potential performance problems before the project is online are found, the project quality is improved, and the operation and maintenance cost is reduced.

To improve the number of concurrent users. [Solution] The terminal of the present invention includes a receiving unit that receives any of the following signals: a plurality of downlink signals, a first uplink signal from another terminal, and a sidelink signal from the other terminal; and a control unit that reports the measurement result of the first uplink signal and controls the transmission of the uplink channel using the other terminal using the resources based on the report.

The invention provides a method and a device for detecting a conflict of a multi-level structure of a client page, and relates to the technical field of UI (User Interface) testing. The method comprises the steps that a multi-device multi-system test cluster and a cross-platform test framework are built, the cross-platform test framework is integrated with a rule engine, and the rule engine is used for configuring a hierarchical priority rule; generating a multi-level combined scene based on a level component type and a level priority rule, and injecting a dynamic behavior triggered by a simulation user interaction operation and a plurality of extreme scenes to generate a dynamic test scene; based on a dynamic test scene, simulating concurrent user operation in a multi-device multi-system test cluster, verifying event distribution logic, and synchronously managing, controlling and recording rendering data; based on the rendering data, verifying hierarchy rationality from a Z-axis hierarchy, a display time sequence and a focus state three-dimensionally to obtain a verification result; and generating and outputting a three-dimensional conflict positioning report based on a verification result. And full-scene automatic detection of complex page multi-level conflicts is realized.

A consensus protocol-based replication approach is provided. Chunks are grouped into replication units (RUs) to optimize replication efficiency. Chunks may be assigned to RUs based on load and replication throughput. Splitting and merging RUs do not interrupt concurrent user workload or require routing changes. Transactions spanning chunks within an RU do not require distributed transaction processing. Each replication unit has a replication factor (RF), which refers to the number of copies / replicas of the replication unit, and an associated distribution factor (DF), which refers to the number of servers taking over the workload from a failed leader server. RUs may be placed in rings of servers, where the number of servers in a ring is equal to the replication factor, and quiescing the workload can be restricted to a ring of servers instead of the entire database.

This disclosure generally relates to various directional input units of a mobile communication terminal, where such directional input units receive a single user input or multiple concurrent user inputs and then acquires at least one selecting (user) sub-input therefrom while a terminal is in its powered-off state or its off-state. After acquiring the selecting user sub-input, a terminal runs at least one pre-selected operation which is selected from a set of multiple pre-selected operations and which matches the selecting user sub-input when a terminal powers on from its powered-off state or wakes up from its off-state. A directional input unit may acquire the selecting user sub-input from a movement of at least a portion thereof, a contact between at least a portion thereof and a user body part, or the like. As a result, a terminal can provide a user with more seamless operations.

This disclosure describes techniques and mechanisms for enabling an end point to have concurrent access to multiple private groups within a network. For instance, the private groups may correspond to user defined network (UDN) groups. The techniques described herein include mapping identifiers (e.g., device identifiers, flowlabels, application identifiers, UDN group identifiers, etc.). The techniques enable a user device to access a first UDN group using a first application on the user device and a second UDN group using a second application on the user device, such that a user does not have to leave the first UDN group in order to participate in the second UDN group. Moreover, the assignment of a user device to one or more UDN groups is policy driven and the infrastructure ensures that only the relevant data traffic is forwarded to the group members within a particular UDN group.

The application discloses a kind of distributed flow table item effective time dynamic hopping implementation methods, including distributed flow table item effective time dynamic hopping definition, implementation, and balance security, performance and resource consumption three features such as characteristic.This method, flow table item in flow table existence time is regarded as privacy, through the ladder random response mechanism of differential privacy in SDN forwarding equipment local flow table item in flow table existence time is dynamically disturbed, forms dynamic mobile flow table item attack surface, makes low-speed flow table overflow attack unable to synchronize flow table item attack surface, to the attack has realized effective active defense.The method does not need to upgrade existing SDN interface protocol and controller software, does not need to introduce trusted third party, while considering network security, guarantee network performance and expansibility, especially suitable for various types of need to support high security and large concurrent user, and has special requirements to delay and expansibility, guarantee its service quality and user experience.

The application relates to the technical field of data processing, in particular to a layered architecture system for pressure testing of an MQTT protocol and an implementation method thereof. The layered architecture system comprises an interface layer, a business layer, a protocol layer and a network layer. The application adopts a pressure testing thread pool to execute a pressure testing task. Compared with JMeter which simulates the number of concurrent users through the number of threads, the application can effectively avoid the problem that the pressure testing result fluctuates too much due to the uncertainty of CPU scheduling of an operating system caused by a large number of threads, and can effectively reduce the performance overhead of the operating system. The layered architecture system design concept can be applicable to complex IM business scenarios, can support a configurable custom extension I / O framework, and can realize pressure testing requirements in multiple business scenarios and improve the scalability of the layered architecture system through pressure testing request parameter configuration and I / O framework switching configuration.

The invention relates to a lightweight technical implementation scheme for generating a distributed unique ID based on a snowflake algorithm and Redis, in particular to the field of online car-hailing, comprising the steps of initializing snowflake algorithm parameters as a basis for generating the unique ID, ensuring that the ID generated by calling for multiple times in the same timestamp has uniqueness, selecting a cloud to deploy a Redis instance, and starting RDB and AOF at the same time. The method comprises the following steps: constructing an ID generator class by utilizing a Spring Boot framework, adding Redis related dependency, defining a starting timestamp and judging an ID range through row, supporting high-concurrency requests and avoiding performance bottlenecks, adding a thread group and setting a thread number to simulate a concurrency user number, adding an HTTP (Hyper Text Transport Protocol) request, recording performance indexes of Redis by utilizing a redis-cli monitoring command, and checking response time of Redis and throughput of a system. IDs are stored by utilizing a BIGTNT type, slow queries exceeding execution time are checked through a SLOWLOG command, online car-hailing marketing business data which are not used any more are cleaned by utilizing redis-cli, a memory is released, efficient resource use is kept, and memory leakage or overuse is prevented.

The invention provides a system interface verification method and system based on artificial intelligence, and relates to the technical field of interface verification, and the method comprises the steps: obtaining a historical concurrent user number, historical system performance data and historical load influence data; obtaining system interface architecture data and historical system interface architecture data; acquiring real-time load influence data; determining a concurrent user number relation function according to the historical concurrent user number and the historical load influence data; according to the real-time load influence data and the concurrent user number relation function, determining a predicted concurrent user number of the prediction period; obtaining a trained system performance prediction model; processing the predicted concurrent user number and the system interface architecture data according to the trained system performance prediction model to obtain a predicted system performance coefficient; and generating a system interface verification report according to the predicted system performance coefficient. According to the invention, the accuracy of system interface verification can be improved.

The embodiment of the specification discloses a kind of knowledge base document concurrent processing method, equipment and medium, it is related to distributed computing technical field, method includes: receiving multiple concurrent user requests by asynchronous network interface, generating unique request identifier for each concurrent user request, and return asynchronous acceptance response to client, concurrent user request and unique request identifier are published to message queue;Multiple user requests are batched pulled from message queue, determine request batch, based on each user request in request batch, determine the unique hash digest corresponding to each user, to unique hash digest, carry out query in preset multi-level cache system, determine cache query result;When cache query result is cache miss, request batch is dispatched to GPU computing unit to execute model inference calculation, determine model inference result data, to store model inference calculation result data to multi-level cache system, and it is returned to client by long connection protocol stream.

The application discloses a one-machine performance evaluation method and electronic equipment, and relates to the technical field of computers. The method comprises the following steps: system initialization processing, receiving user initialization parameters, verifying the measured accuracy of at least one application scenario, performing concurrent performance testing to obtain the optimal number of concurrent users when the measured accuracy is greater than or equal to the accuracy threshold, determining the performance index of the large language model all-in-one machine in the current application scenario according to the optimal number of concurrent users, determining the performance index of the large language model all-in-one machine in the current application scenario as zero when the measured accuracy is less than the accuracy threshold, and determining the comprehensive performance index according to the performance indexes in the application scenarios. The application can simultaneously consider factors such as hardware computing power, software scheduling and model accuracy, avoid the one-sidedness of traditional methods that only look at a single index, and thus more intuitively reflect the content generation capability and efficiency of the all-in-one machine in a real application scenario.

The invention provides a replication method based on a consensus protocol. The blocks are grouped into replication units (RUs) to optimize replication efficiency. The block may be assigned to the RU based on the load and the replication throughput. The splitting and merging RUs do not interrupt concurrent user workloads or require routing changes. Transactions across blocks within the RU do not require distributed transaction processing. Each replication unit has a replication factor (RF), which refers to the number of copies / replicas of the replication unit, and an associated distribution factor (DF), which refers to the number of servers that take over the workload from the failed leader server. The RU may be placed in a ring of servers, where the number of servers in the ring is equal to the replication factor, and the quiescent workload can be limited to the ring of servers rather than the entire database.

The invention relates to a parking reservation and dynamic allocation method for large-scale high-concurrency users, and the method comprises the following steps: S1, collecting the state information of all parking facilities in a region in real time, and parking request information and user state information from a network-connected automatic driving user vehicle or a manual driving user vehicle; s2, according to the distribution moment information obtained in the S1, determining a feasible parking resource set which accords with user preferences and a total user expected cost; s3, describing a parking reservation and distribution system into a dynamic resource distribution problem by using mixed integer linear programming, and setting an objective function and constraint conditions according to parking demands and supply information; and S4, solving the dynamic resource allocation problem in the S3 through an improved Monte Carlo tree search and heuristic rule combined algorithm, and allocating the most suitable parking resources for each user. According to the invention, while the total parking fee of the system user is minimized, the utilization of parking resources can be optimized, and cruise vehicles are reduced.

The invention discloses a software product performance test method, which comprises the following steps of: 1, planning load test, including the number of concurrent users, typical business processes and response time, and writing a performance test report according to related requirements of items; step 2, creating a vuser script which is divided into three parts of init, action and end, init being an initial part, action being a main body of a test, and end being an exit end; step 3, defining a scene: setting a test environment by using a loadrunnercontroller, and recording a complete script and adding the script into the scene; 4, setting a scene which comprises a static part and a dynamic part; compared with the prior art, the method has the advantages that hardware resources are reasonably distributed, a load generator carrier is selected, an efficient operation scene is set, software performance testing under the high concurrency condition is carried out, a staged and modular testing environment is set, and system performance bottlenecks are checked; optimization of system software is proposed, network hardware equipment resources are adjusted, and user experience is improved.

The invention discloses a mixed transaction test method and device, and relates to the technical field of artificial intelligence. A specific embodiment of the method comprises the following steps: receiving a mixed transaction test instruction, obtaining a concurrent user number ratio of each group of scenes, and configuring the concurrent user number of each group of scenes according to gradient equal difference; starting a mixed transaction test program, gradually increasing pressure for each group of scenes according to the number of concurrent users configured for each group of scenes until the test index parameters exceed the test export criterion, and obtaining a test result; in response to a click on the optimal group analysis plug-in, generating a trend chart including a relationship among the test indexes by using the test result; and acquiring an inflection point in the trend chart, and taking the scene corresponding to the inflection point as an optimal group when determining that the inflection point meets a preset judgment condition. According to the embodiment, at least the visual trend chart can be automatically generated, and the optimal group scene can be analyzed.

The invention discloses an authorization certificate management and concurrent user restriction system based on a Django framework, and relates to the technical field of authorization certificate management concurrency, and the system comprises the following steps: a key generation module: generating a key: generating an RSA key pair by using a cryptographic library, the RSA key pair comprising a private key and a public key, the private key being used for signing an authorization file, and the public key being used for verifying the signature of the authorization file; secret key storage: a private key must be securely stored at a server side, and a public key can be distributed to a client application program; and an authorization file generation module: a data structure, wherein an authorization file adopts a JSON format and comprises the following information: expiration time: an invalidation date and time of the authorization file. According to the authorization certificate management and concurrent user restriction system based on the Django framework, the flexibility and security of software authorization are improved.