18results about How to "High concurrency" patented technology

The invention provides a business process intelligent configuration and security execution method, system and device, and the method comprises the steps: converting a natural language demand into a BPMN 2.0 process model based on a large language model and an enterprise knowledge base; the service rule description is converted into a Grouping script through multi-level security compiling; the process and the script are executed in the Flowable process engine integrated with the security sandbox, and execution data are collected; and calculating a process health score based on the data, generating and implementing an optimization suggestion, and feeding back a result to the knowledge base. The problems that a traditional process system depends on manual coding, the script safety is poor, and continuous optimization is lacked can be solved. The full-link automation and intelligentization of the business process from design, execution to optimization can be realized, the development efficiency and the system security are greatly improved, and the process has the self-evolution capability through closed-loop feedback.

The application relates to an intelligent voice communication system and method for real-time interaction between a device end and a large language model cloud end. It solves the problems of high interaction delay, lack of true full-duplex voice stream support, separation of audio stream and instruction execution, and poor interaction efficiency in the prior art. It comprises a device end and a cloud end. The device end comprises a microcontroller running a FreeRTOS real-time operating system, the microcontroller is connected with a signal acquisition and processing unit, and the microcontroller is connected with an NFC controller for device end interaction and communicates data with the cloud end through a wireless communication module. The cloud end comprises a full-duplex voice gateway, a GPU array, an AI acceleration card and a device perception scheduler. The application has the advantages that natural continuous conversation of voice in and out is realized; user instructions are recognized and executed in real time during the conversation process, voice feedback is returned synchronously, and low-delay, low-power-consumption, high-concurrency full-duplex voice interaction is realized.

The invention discloses a cloud server cipher machine-oriented virtual cipher machine fault drift method and system. The method comprises the following steps of: managing a VSM resource pool and issuing a platform drift key pair to each virtual cipher machine VSM; continuously monitoring the running state of each VSM, and when a fault is detected, packaging a migration packet of core data carried by the fault VSM; generating a symmetric key, packaging the migration packet into a digital envelope through a platform drift key, and generating a digital signature to obtain a key data drift packet; a target VSM is dynamically selected, a key data drift packet is received, a digital envelope is decrypted to obtain a migration packet, a digital signature is verified, the migration packet is transmitted to the target VSM, key assets and configuration information are thermally loaded, and data recovery is completed; unbinding the IP address of the source fault VSM and configuring the IP address to the target VSM in real time; performing secure erasure and initialization operation on the faulted VSM, and re-incorporating the faulted VSM into the resource pool; the system comprises a management center, an equipment management service and a virtual cipher machine.

The invention discloses a time efficiency label generation method and device and a storage medium, and relates to the technical field of logistics time efficiency, and the time efficiency label generation method comprises the steps: responding to a time efficiency label obtaining request, and determining whether the client time corresponding to the time efficiency label obtaining request is before the preset time; and if the client time is before the preset time, constructing query input based on a commodity identifier corresponding to the timeliness label acquisition request, and querying the white list data in the memory cache. When the subitems in the white list data are hit, the shipping warehouse information and the receiving place information corresponding to the timeliness label acquisition request are assembled into a key, and the precomputation state of the target route is inquired in the Redis cache based on the key assembled by the shipping warehouse information and the receiving place information. And if the pre-calculation state is normal, the next day arrival tag is used as a response of the timeliness tag acquisition request and is sent to the client. According to the method, the technical effect of high-robustness and high-certainty time-efficiency label calculation capability of the million-level QPS can be realized.

The invention discloses a computing power resource dynamic slicing and isolation method for an artificial intelligence target range, and the method comprises the following modules: S1, business feature perception and dynamic resource slicing: carrying out the analysis and modeling of an artificial intelligence attack and defense task through a mechanism, and mapping a task demand into a corresponding computing power slicing specification; s2, a driving-level video memory firewall, which monitors the video memory usage behavior of the virtual instance in real time on a driving layer of an execution node, and prevents attack behaviors such as abnormal occupation of the video memory; and S3, carrying out atomized rollback based on the model state of the shared memory. According to the mechanism, rapid recovery of the environment is realized through page table resetting. The method is oriented to an artificial intelligence target range, and the problems of static low efficiency, insufficient safety and isolation, lack of a quick recovery mechanism and the like of resource scheduling are solved through the mechanisms.

The embodiment of the invention discloses an equipment control method and device and an ad hoc network system, and the method comprises the steps: setting a plurality of semantic tags for node equipment of an ad hoc network from a plurality of different dimensions, embedding a target node equipment tag group in equipment control information when scene control or group control is carried out, and carrying out the scene control or group control. And positioning the target node equipment needing to be controlled by using the target node equipment label group, and sending the equipment control information in the ad hoc network in a broadcast mode. And meanwhile, each node device matches and judges whether a target node device exists or not based on a semantic tag of the node device and a target node device tag group by broadcasting the received device control information, and executes an action instruction in the device control information when judging that the node device is the target node device. Thus, scene control or group control can be realized in a low-latency manner without controlling a command or address translation of the gateway device.

The application relates to a connection management method and system, the method is applied to a signaling server, the signaling server is independent of a cluster server, the method comprises the following steps: in response to a registration instruction, sending a registration signal to the cluster server; receiving registration information returned by the cluster server in response to the registration signal; the registration information comprises first address information, the first address information of different signaling servers is different; receiving a connection signal initiated by a client to the corresponding signaling server based on the first address information; and establishing a signaling channel connected with the client based on the connection signal. Through the foregoing method, the interference of the business logic of the cluster server on the signaling connection can be reduced, the cluster server resources can be avoided from being contended, low delay and high concurrency can be ensured, service jitter caused by the rapid change of the business logic of the cluster server can be reduced, the stability of the signaling connection can be improved, the business branches can be simplified, the delay can be reduced, and the connection efficiency and stability can be improved.

This invention relates to an optimization method for high-speed memory read and write operations. The method involves dividing the memory address space into multiple address units according to a preset address granularity; receiving write and read requests for each address unit; when an address unit receives a write request, if no corresponding write record to be committed exists in the local commit area, the write record to be committed is created and the write data is recorded; if the address unit has the write record to be committed and is not interrupted by the read request, the latest write data in the write record to be committed is updated for subsequent write requests, so that multiple writes to the address unit are merged into a final write result before physical commit; when the read request hits the write record to be committed, the write record to be committed outputs the read result; when the commit condition is met, the final write result corresponding to the write record to be committed is written to physical memory, and the write record to be committed is released.

The present application relates to the field of communication technology, and more particularly to a kind of northbound interface command processing method and system, method includes: through user service and upper system docking, receive the northbound command issued by upper system, parse northbound command and convert into uniform northbound message, then according to the mapping relationship table of equipment network element and service, uniform northbound message is sent to the service corresponding to equipment network element;Through service, uniform northbound message is processed, the conversion of service data is carried out and is issued to equipment network element, and the decomposition and reorganization of service flow are carried out and are sent to equipment network element and execute.The user side and service side function of northbound service are separated in the present application, different types of northbound interface service reuse same service, reduce the cost of opening maintenance and deployment, can make network management system in high concurrency and high throughput, with higher reliability, can reduce the node congestion phenomenon caused by single user or equipment failure.

The invention discloses a distributed power real-time data access system and method. The system comprises a data ID unified coding module, a unified data access interface module, a fault-tolerant device module and a regional service node module. The data ID unified coding module adopts a structured global unique coding rule, and a code comprises a region code used for directly positioning a data physical storage position; the unified data access interface module receives a client request, groups transmission data, dynamically allocates the request to an optimal regional service agent through a load balancing strategy, and performs data compression, decompression and result aggregation; the fault-tolerant device module realizes overtime processing, failure retry, fault recovery and heartbeat detection functions; the regional service node module is responsible for storage, query and processing; according to the invention, the efficiency and reliability of distributed power real-time data access can be improved.

The application relates to a task scheduling method, device and computer equipment. The method comprises the following steps: obtaining task information of each to-be-scheduled task and resource states of each computing node in a computing cluster; wherein the task information of each to-be-scheduled task at least comprises data volume and data distribution information of processing data required by the to-be-scheduled task; determining execution time lengths of each computing node for executing each to-be-scheduled task according to the task information of each to-be-scheduled task and the resource states of each computing node; determining load imbalance degrees corresponding to each candidate scheduling strategy according to the execution time lengths of each computing node for executing each to-be-scheduled task; the candidate scheduling strategy comprises node allocation of each to-be-scheduled task; selecting a target scheduling strategy from each candidate scheduling strategy according to the load imbalance degrees corresponding to each candidate scheduling strategy; and scheduling each to-be-scheduled task based on the target scheduling strategy. The method can improve resource utilization and task processing efficiency.

The present disclosure relates to a database-based data processing method, device, medium and electronic equipment, the method comprising: receiving a query request task to be executed, and determining a plurality of coroutine tasks corresponding to the query request task, the coroutine tasks being initially added to a global task queue shared by a plurality of threads, and then being distributed from the global task queue to a local task queue of a corresponding thread; in each thread, determining a target coroutine task to be executed according to time information of each coroutine task in the local task queue of the thread; interrupting the target coroutine task and adding the target coroutine task to the global task queue when the target coroutine task is not executed and the target coroutine task is after the current time slice of the execution of the thread; determining a new target coroutine task of the thread according to the global task queue and the local task queue of the thread, and executing the new target coroutine task in the next time slice.

The application relates to the field of cloud computing storage, and proposes a logical volume access method, device, equipment and medium. A logical volume access method is applied to an application layer, and the method is characterized in that the method comprises the following steps: calling a target logical volume activation interface of a daemon process; after the target logical volume activation interface is returned, executing a target logical volume access task; and calling a target logical volume reverse activation interface of the daemon process. The application encapsulates the activation and reverse activation operations of the logical volume through the daemon process, solves the safe access of the shared logical volume between multiple tasks in the concurrent multitask scenario of the application layer on the host, and makes the logical volume information used between the concurrent tasks no longer report errors and abnormities, so that the concurrent operation tasks of the upper multitasks can be ensured to be successfully performed.

The invention discloses an insurance industry distributed data processing method and device, and the method can effectively solve the problems of performance bottleneck and poor expansibility of a traditional centralized database in a mass data scene in the insurance industry. Stream batch integrated processing of high-concurrency transaction processing and batch analysis tasks is realized, and the system processing efficiency and availability are improved.

The invention discloses an Actor model-based industrial data acquisition task dynamic scheduling method, which comprises the following steps of: creating a scheduler Actor, a connection management Actor and a protocol processing Actor in an Actor operation environment, and initializing a layered time wheel timer; dynamically creating an independent connection Actor instance for each data acquisition connection request through the connection management Actor; sending a data acquisition command message to a corresponding connection Actor instance through the scheduler Actor, so that the connection Actor instance performs data acquisition to obtain a data acquisition result message of a data acquisition result; standardizing a data acquisition result in the data acquisition result message through a protocol adaptation layer managed by a protocol processing Actor; and publishing the standardized data to a downstream system. Through the isolation characteristic of the Actor model and an asynchronous message driving mechanism, high-concurrency and low-delay industrial data acquisition is realized, the reliability, the expandability and the resource utilization efficiency of the system are remarkably improved, and the data acquisition requirement in a large-scale industrial Internet of Things scene can be effectively met.

The application discloses a kind of soil-crop simulation systems based on information technology, comprising: distributed data layer, distributed data layer includes distributed relational database, and distributed relational database is made of distributed database HBase and relational database MySQL;Logic calculation layer is used to provide parallel computing service based on distributed data layer;Web application layer is connected with logic calculation layer by B / S mode, and web application layer submits to logic calculation layer after obtaining soil-crop simulation task, and logic calculation layer generates simulation result by parallel computing, and shows to user by web application layer.The application utilizes the mixed mode of distributed database and relational database to construct bottom data layer, solves the problem of coexistence of simulation computing task computing performance and storage management through the high concurrency and storage performance scalability of the data layer, and improves the efficiency of calculation and simulation.

The application belongs to the technical field of multi-source data processing and collaborative computing, and aims at the problems of multi-source heterogeneous data in complex dynamic scenes, such as time and space asynchronization, non-uniform characteristics, high processing delay, and weak concurrent support capability, and proposes a real-time processing and collaborative computing method for multi-source heterogeneous data with unified time and space reference. The method completes device coordinate calibration and timestamp calibration with Beidou time and space reference, realizes millisecond-level time and space synchronization; through a lightweight dynamic feature coding network and a self-adaptive weight distribution mechanism, unified feature extraction and target matching of multi-modal data are completed; an edge-cloud collaborative architecture is constructed, combined with hierarchical feature compression and asynchronous federated learning, supporting concurrent access of ten thousand devices and reducing end-to-end delay; integrating a digital twin engine and an operational optimization algorithm, scene deduction, resource scheduling and accurate instruction issuing are realized, which can be widely applied to global precise management and control in complex dynamic scenes such as ports and parks.

The invention discloses an extensible high-concurrency data cache management system, solves the problem of how to realize extensible, high-concurrency and non-blocking cache, and belongs to the crossing field of integrated circuit design and computer network communication technology. The system comprises a plurality of input port service subsystems and a plurality of output port service subsystems which are independently parallel, and configurable expansion of the number of the input port service subsystems and the number of the output port service subsystems is realized through independent chip selection signal control enabling; the input port service subsystem is used for receiving a data stream from a physical port and carrying out preprocessing and protocol analysis; the scheduling subsystem is used for being responsible for scheduling decision and virtual output queue management of the data packets and realizing multi-level QoS (Quality of Service) scheduling; the cache subsystem is used for data packet storage, address allocation, multicast support and memory recovery; and the output port service subsystem is used for reading the data from the cache and sending the data to the physical port. The method supports an error checking and correcting mechanism.