24results about How to "Improve concurrency" patented technology

This invention provides a method, apparatus, electronic device, and medium for monitoring terminal inspection, applied to an inspection system connected to multiple monitoring terminals to be inspected. The method includes: acquiring historical service traffic information and real-time network stability information of the inspection system; determining inspection configuration information for the multiple monitoring terminals based on the historical service traffic information and the real-time network stability information, the inspection configuration information including inspection concurrency and inspection time period; and performing inspection on the multiple monitoring terminals according to the inspection configuration information to generate monitoring data for the multiple monitoring terminals. This invention achieves automated generation of inspection configuration information during the inspection process, while improving the concurrency performance of the inspection system, increasing the number of concurrent inspections within a period, and improving inspection efficiency.

The application provides a mosaic video playing control system, method, electronic device and storage medium. The system comprises a device end, a server end and a browser end. The device end is used for collecting video data, encoding and processing video frames in the video data and detecting sensitive information in the video frames, obtaining encoded frames corresponding to the video frames and the sensitive information in the video frames, adding the sensitive information in a protocol header of the encoded frames, obtaining a first video file, and uploading the first video file to the server end. The server end is used for performing encapsulation processing on the first video file according to a video playing request of a user, obtaining a second video file, and transmitting the second video file to the browser end. The browser end is used for receiving the second video file, performing mosaic processing on video frames in the second video file, obtaining a mosaic video, and rendering and playing the mosaic video. The system can reduce storage cost, improve video concurrency, improve response speed and support plug-in-free dynamic playing.

This application discloses a method and system for uploading monitoring data for internet hospitals. The method includes: a data management center monitoring the data to be monitored generated on the internet hospital platform, obtaining the index value of the data to be monitored, and sending the index value to a front-end application terminal; the front-end application terminal obtaining the corresponding data to be monitored based on the index value, adding the data to a message queue, and transmitting the data to be monitored to the monitoring platform based on the message queue. This application uses the data management center to send the index value of the data to be monitored to the front-end application terminal, allowing the front-end application terminal to directly obtain the data to be monitored, avoiding the backlog of data requests between the gateway and the front-end application terminal, ensuring the timeliness and completeness of the data acquisition, and improving the accessibility of the data to be monitored. Simultaneously, the front-end application terminal sends the data to be monitored to the monitoring platform via a message queue, improving the concurrency of the data to be monitored.

The embodiment of the invention provides a cross-forward isolation data comparison system, method and device, a medium and a product, and relates to the field of data synchronization and verification. The system comprises a first agent which is deployed in an intranet and accesses a source end database through a database connection protocol; the second agent is deployed in an external network and establishes one-way communication connection with the first agent; the first agent is also used for transmitting the source end data of the source end database to the second agent through the forward isolation device through the one-way communication connection; and the comparison service is deployed in an external network, pulls the source end data from the interface of the second agent, and performs comparison operation on the source end data and the target end data. According to the method provided by the invention, the technical problem of data comparison in a cross-forward isolation scene is solved through the design of a double-agent architecture and a user-defined protocol, the security and reliability of data comparison are realized, and efficient and secure data comparison in a strict network isolation environment is realized.

The invention discloses a method, a system and equipment for generating ECharts chart resources based on a server side. The method is executed in a Node.js environment and comprises the following steps: receiving and analyzing a chart generation request; loading an ECharts configuration template and obtaining original data, and generating a complete configuration item after standardization processing; creating a virtual DOM (Document Object Model) environment and container elements through the JSDOM; creating an off-screen canvas based on Canvas, initializing an ECharts instance and executing rendering; encoding the rendering result into an image data stream; and performing format adaptation and distribution according to the terminal type. The invention further provides a cross-end consistency guarantee mechanism, a block rendering optimization mechanism, an intelligent distribution mechanism and the like. Complete decoupling of the ECharts and the server environment is achieved, static chart resources can be efficiently generated, large data volume processing is supported, cross-terminal display consistency is ensured, the performance and safety of chart generation are remarkably improved, and the application range of chart generation is remarkably widened.

This application discloses a report calculation method, device, and medium. The method includes: obtaining a report calculation request from a client and calling a task scheduling operation log table; determining the running status of each application server based on the task scheduling operation log table; determining the idle status of each application server based on its running status using a preset idle status judgment algorithm; determining the calculation task for each application server in response to the report calculation request based on its idle status; and calculating the report based on the calculation task of each application server. After receiving the report calculation request, the server understands the running status of each application server based on the task scheduling operation log table and continues to determine the idle status of each application server using the preset idle status judgment algorithm. This automatically and reasonably allocates the report calculation workload to each application server, improving report calculation efficiency, especially under large-scale report calculations.

A massive telemetering data characteristic value processing method based on time fragmentation and double compression comprises the following steps: receiving satellite telemetering original stream data in real time, performing formatting analysis, extracting a baseband timestamp, a telemetering code and an engineering value field, and generating a standardized telemetering engineering value frame; fragmenting the telemetering engineering value frame based on a timestamp, determining a triple composed of the timestamp, a date to which the timestamp belongs and a telemetering code as a storage sub-partition key, and dynamically allocating data to a corresponding storage partition according to the key for storage in a disk; carrying out historical archiving on the stored telemetering engineering value frames by adopting double-compression processing; constructing a shared bulletin board task model, and registering all to-be-calculated feature tasks to a shared bulletin board queue by taking a combination of a telemetering code, a processing time slice and a processing identifier as a bulletin board key value; and the thread pool obtains task entries in the shared bulletin board queue in parallel based on a shared lock queue mechanism, and reads satellite telemetering point information from the shared memory.

The present application relates to a kind of data extraction method and distributed computing system, the present application is handled by using the parallel computing capacity of distributed computing framework, cluster computing resources, task error retry capability to process database table split data extraction task.According to the database table split rule of logical table, the database configuration information of extraction physical table and the rule of extracting table data are generated, according to the rule of generating subtask of distributed computing framework, ensure that each subtask extracts several physical tables, in the subtask program, according to the database configuration information and data extraction rule read, complete the extraction task of single physical table, distributed computing framework ensures the successful execution of each physical table extraction task, distributed task is successfully executed, otherwise delete the data extracted, distributed task is declared failure, ensure the data integrity after extraction task is completed.

The invention provides an automatic testing method and device based on test sequence generation, equipment and a medium, and relates to the technical field of server testing. The method comprises the following steps: acquiring natural language test requirement data, and generating a structured target test step sequence based on a test requirement; then resource state information of the environment to be tested is collected, the resource state information is combined with the target test step sequence, and a test task scheduling instruction used for indicating a step execution strategy is generated; and distributing the test task scheduling instruction to a plurality of distributed execution nodes in a to-be-tested environment, and executing test steps in the scheduling instruction by the distributed execution nodes to obtain a corresponding test execution result. According to the scheme, automatic generation from natural language requirements to executable test steps can be achieved, reasonable scheduling is carried out based on the environment resource condition, and the execution efficiency and accuracy of the test task in the distributed environment are improved.

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.

This invention discloses a multi-LoRa gateway online downlink scheduling method based on collision awareness. It initializes a Co-SF collision count table, a Co-SF collision awareness table, an Inter-SF collision count table, and an Inter-SF collision awareness table. The network server performs Co-SF and Inter-SF collision awareness on downlink data packets, and updates the Co-SF and Inter-SF collision awareness tables. When sending downlink data packets, the network server determines whether there is an idle channel, and then selects a gateway without transmission collisions to send the downlink data packets by querying the Co-SF and Inter-SF collision awareness tables. By sensing and avoiding transmission collisions, the method ultimately improves downlink concurrency capabilities.

The application provides a load balancing method and system for an Internet of Things edge terminal. The load balancing method comprises the following steps: acquiring all devices for uploading data in the Internet of Things; classifying the data uploaded by the devices in units of devices to obtain data categories; summarizing the data generated by all devices in units of data categories, and acquiring the data volume corresponding to each data category and a data category set; distributing servers according to the data volume and the data categories to obtain the servers corresponding to each data category; and sending data to the corresponding servers according to the corresponding relationship between the data categories and the servers. The system comprises modules corresponding to the method steps.

Embodiments of the present application provide a kind of national secret handshake request processing method, equipment and readable storage medium, after node server receives the national secret handshake request from terminal device, when needing to use private key in the process of executing handshake procedure for national secret handshake request, suspend handshake procedure and send the request message carrying to-be-processed data to private key server.Private key server processes to-be-processed data using private key to obtain target data, constructs response message according to target data and sends to node server.Node server recovers handshake procedure according to target data, and with terminal device continues the handshake procedure of following down.Using this kind of scheme, without customer providing the private key corresponding to national secret certificate, national secret handshake request processing can also be completed without sensing, improve the application scope of national secret HTTPS protocol, improve business security.

The invention discloses a hybrid architecture semantic restoration method and device based on a DFA and a large language model, and relates to the technical field of semantic restoration, the method comprises the following steps: receiving an original power text sequence, loading a terminology benchmark library, and carrying out full scanning based on the DFA to output a candidate anchor point set; locking the candidate anchor point set, extracting a context feature window of each anchor point, and calculating a semantic coupling probability of each anchor point and a context in the context feature window; determining a repair path between each anchor point and a context in the context feature window based on the semantic coupling probability, and performing semantic repair on each anchor point and the context based on the repair path to obtain a corresponding standardized term fragment; and integrating the standardized term fragments to form a complete standardized text sequence corresponding to the original power text sequence. According to the invention, the problem of low accuracy and efficiency during conversion from a spoken text to a standardized term in the prior art is solved.

The invention discloses a storage and calculation separated data read-write method, device and equipment and a medium, and relates to the field of data storage, and the method comprises the steps that a business process in a calculation node sends a metadata read-write request for a business instance to a local service component through a local client; the metadata read-write request is sent to a key value storage service corresponding to the business instance through a service component, so that the key value storage service executes read-write operation on at least one hard disk in a distributed storage pool by responding to the metadata read-write request, and a metadata read-write result is returned to the client; different key value storage services in the service component are deployed based on different business instances in corresponding business processes; the distributed storage pool is located in a storage node that is independent of the compute node. By independently deploying the storage nodes and the computing nodes, the key value storage service in the computing nodes and the storage nodes are decoupled, so that the key value storage service can be independently deployed and flexibly deployed based on the business instances.

The application discloses a kind of data storage method and system based on object chain, which comprises: using N nodes to store data and text;N nodes are linked to form M string chain under the guarantee of security guarantee mechanism;M string chain freely constitutes X object unit;X object unit is linked to form block chain by control library firmware, realize the storage of multiple data and text;The system makes the above-mentioned method carry out data storage and management;System includes support layer, functional layer and interface layer;Wherein, support layer includes: directory service module;Functional layer includes: authentication service module, identity management module, authorization management module, role management module, resource management module and configuration management module;Interface layer includes: API interface module, Web service module and management tool module;Different functional components can be connected through API interface module, can adapt to various different platforms, and the performance is stable and reliable;And data storage efficiency and security are very high, and storage is not limited.

The present application relates to a product quota checking method and device based on a cache index and a computer device. The method comprises the following steps: obtaining a product quota demand initiated by a user; obtaining a node index; performing a first check on the nodes in the node index to obtain a unique initial node matching the product quota demand; accessing a database using the initial node, and performing a second check on the initial node by the database to determine whether the initial node meets a product quota deduction condition; if the product quota deduction condition is met, determining that the initial node is a node to be deducted, and performing a quota deduction on the node to be deducted in the database; if the product quota deduction condition is not met, selecting other nodes from the node index as new unique initial nodes, and repeatedly determining whether the product quota deduction condition is met; updating the node information after the quota deduction asynchronously, and repeating the above steps. The present application improves the efficiency of product sales quota checking and deduction, reduces the number of database accesses by the application, and relieves the access pressure of the database.

The invention discloses a small file metadata management optimization system based on mass data. The small file metadata management optimization system comprises a metadata management module and a routing management module, in the metadata management module, a metadata file is organized into a layered fixed-length recording structure which comprises a metadata storage structure and a metadata index structure, and when the metadata file is updated, a record corresponding to the updating operation of the metadata file is written into the metadata index structure by adopting an additional writing mode; the routing management module divides a data file into a plurality of Blocklets, and records routing information of the Blocklets in a metadata file; based on the index information and the routing information of the metadata index structure, the retrieval of the metadata file and the positioning of the data file are realized. The method is suitable for metadata management for efficiently organizing, accessing and maintaining a large number of small-scale data files in a distributed database system.

The application discloses a data access method and device, equipment and a readable storage medium. After a server receives a data access request, it is judged whether target data requested by the data access request exists in a cache or memory. If the target data does not exist in the memory and the cache, it is determined that a reading request is initiated to a hard disk. Then, the server judges a medium type of the hard disk storing the target data. When the medium type indicates that the hard disk is a solid state disk, a pre-reading behavior of the reading request is closed, and the reading request with the closed pre-reading behavior is initiated to the hard disk to acquire the target data. When the medium type indicates that the hard disk is a solid state disk, the pre-reading behavior is closed, so that the reading request is prevented from being blocked probabilistically due to garbage collection, the concurrent capability of the server is improved, the data access speed is improved, and the possibility of system jitter is reduced.

The application discloses a multi-version concurrent access control method and system based on an SQLite database, constructs a global transaction timestamp system and a row-level multi-version storage structure, and realizes lock-free reading, an append-type write transaction, MVCC-WAL collaborative logging, automatic version garbage collection, multi-version indexing and multi-process shared memory concurrency. A read transaction is not locked, a write transaction does not block a read transaction, snapshot isolation and repeatable read are supported, historical data versions are retained, and the application is fully compatible with original SQLite API and data formats. The application solves problems such as read-write blocking, write-write conflict, insufficient isolation level, no version management and multi-process insecurity caused by a traditional SQLite file lock mechanism, significantly improves database concurrency capability, stability and data consistency in an embedded scenario, and is suitable for high-performance embedded devices such as mobile terminals, Internet of Things, vehicles and medical devices.

The invention discloses a video call recording optimization method and system, equipment and a storage medium, and belongs to the field of audio and video communication, in order to solve the problems that in the existing video call service, the CPU load of a system is too high and concurrent video call service cannot be provided due to video coding and decoding when the service is recorded, and discloses a video call recording optimization method and system, equipment and a storage medium. The method comprises the following steps: establishing a two-way call between a calling terminal and a called terminal; the server starts a video call recording service; the calling terminal and the called terminal send respective audio and video streams to the opposite terminals; and the server records the audio and video file of the calling terminal and the audio and video file of the called terminal. According to the invention, the problem of CPU performance overhead caused by video coding and decoding is solved, the consumption of system performance is greatly reduced, unnecessary hardware resources are reduced, video concurrent services are better supported, practical problems are solved by using relatively small resources, and the cost is reduced and the efficiency is improved.

This invention relates to the field of concurrent programming technology, and particularly to an intelligent scheduling optimization method based on Java thread pools. This method collects task execution data each time the thread pool executes a task, and persists it for analysis; it uses machine learning algorithms to predict thread pool parameters; based on historical data and current load, it dynamically adjusts the core thread count, maximum thread count, and queue size of the thread pool using a rule engine or machine learning model; it prioritizes the execution of lightweight tasks to avoid heavy tasks blocking the entire thread pool; and it automatically rolls back the last valid configuration when configuration fails or performance degrades. This intelligent scheduling optimization method based on Java thread pools achieves efficient resource utilization and task scheduling priority management, significantly improves overall concurrency performance, reduces resource waste, and enhances responsiveness, making it suitable for complex distributed systems and microservice platforms.

This invention provides a locking method for locking a directory tree and related products. The locking method includes: obtaining an operation request; and performing MGL operations on multiple MGL lock objects in a multiple-granularity locking (MGL) lock object array according to the operation request. The MGL lock object array includes multiple MGL lock objects used to record the locking status of nodes in the directory tree. Each MGL lock object corresponds to multiple nodes, and each node includes at least one target node and one or more parent nodes. This method enables MGL for the directory tree, thereby improving the concurrency of file system metadata tree operations.