218 results about "Concurrency control" patented technology

The invention discloses a digital production plan scheduling method and system, and belongs to the technical field of optimal scheduling, and the method comprises the steps: constructing a distributed storage architecture based on edge computing nodes; a central coordinator is adopted to realize cross-node data synchronization through an improved Raft consensus algorithm, multi-version concurrency control is realized based on a vector clock, and a global consistent data view is established; a visual scheduling platform is built based on a Vue3 framework, and man-machine interaction is realized by adopting a Canvas and WebGL collaborative rendering framework; establishing a dynamic coordinate conversion model based on bilinear interpolation, designing a space mapping function containing distortion compensation, establishing a multi-thread coordinate service based on WebWorker, and realizing submillimeter-level bidirectional mapping of pixel coordinates and physical coordinates; constructing a three-dimensional space-time analysis model fused with the multi-dimensional features; and all the units are subjected to feature fusion through residual connection, and finally a scheduling scheme with a confidence coefficient weight is output. The method and the device have the effect of meeting various scheduling requirements.

The present invention discloses a modular AI-based system for knowledge instantiation and evidence synthesis, unifying five modules: Knowledge Instantiation, ingesting anchor knowledge via retrieval- augmented generation and neuromorphic prompting; Case-Based Agent Generation, orchestrating domain constraints, performance criteria, and sub-task decomposition; Secondary Epistemogenesis, spawning sub-agents with inherited heuristics; Workflow Orchestration and Evidence Synthesis, merging outputs, tracking metadata, and storing final artifacts; and Reinforcement Learning from Human Refinement, capturing feedback and edits. The method for output generation initiates by defining knowledge requirements, indexing public and proprietary knowledge, validating output structure, drafting content, and refining outputs via sub-agent spawning and human oversight. The system ensures domain alignment, concurrency control, and persistent versioning. By combining specialized knowledge sources, multi-agent concurrency, and iterative human feedback loops, it dynamically adapts to evolving knowledge requirements. This invention emphasizes reliability, traceability, and AI-driven outputs in regulated industries, delivering trustworthy outcomes anchored in expert knowledge.

The invention discloses a channel model dynamic association method based on a multi-source data index, and relates to channel engineering digital management. The channel model dynamic association method comprises the steps that component codes of channel engineering are constructed and used for identifying the same physical entity; establishing a three-layer index table structure according to the component codes; constructing a dynamic partition management mechanism of a three-level cache architecture, wherein the three-level cache architecture comprises a first-level cache stored in a memory, a second-level cache stored in a local disk and a third-level cache stored in a distributed manner; according to data access information in the three-layer index table structure, data migration is carried out among all levels of caches; according to the dynamic partition management mechanism, a data version management mechanism based on a timestamp concurrency control protocol is established, the data version management mechanism generates incremental data by comparing original data with updated data, and incremental updating or full updating is selected according to a threshold value. According to the method, the problem that data evolution tracking is difficult due to fragmentation of multi-source heterogeneous data and unbalanced access efficiency in navigation channel engineering is solved.

The invention relates to an elastic concurrent AI (artificial intelligence) model optimization productivity acceleration middle station, which comprises a resource management and scheduling module, a data processing and storage module, an elastic concurrent control module, a productivity optimization module, a system monitoring and feedback module and a user interaction and management module, the data processing and storage module is used for preprocessing and storing data, the elastic concurrency control module is used for elastically adjusting system resources and task processing capacity, the productivity optimization module is used for accelerating task distribution and result output, and the system monitoring and feedback module is used for monitoring the system state and providing feedback. And the user interaction and management module is used for providing high-efficiency middle station management. The system has the beneficial effect that the system shows extremely high adaptation capability in various scenes such as multi-task parallel, burst load processing and high-reliability storage.

The invention discloses a dynamic concurrency control and resource optimization method of a smart phone outbound system. According to the method, the calling resources are dynamically allocated through the multi-dimensional weight model, and line loads and risk management and control are effectively balanced on the premise of ensuring compliance requirements of operators. Real-time state monitoring of the calling number is combined with an intelligent cooling strategy, so that a risk control mechanism is prevented from being triggered by overuse of a single line, and high-efficiency access of high-value customers is ensured through priority scheduling. The concurrency scale and the calling rhythm are accurately controlled through double constraints of the double-token mechanism, the instant flow is prevented from impacting the bearing limit of the system, it is ensured that the outbound call rate is always within the safety threshold value of an operator, and therefore the call failure rate and resource waste are greatly reduced. A parameter optimization mechanism based on dynamic feedback can automatically adjust a resource allocation strategy according to historical data and operation environment changes, for example, rate limitation is temporarily relaxed and remainder smooth scheduling is started in a burst traffic scene, so that smooth transition of a service peak value is realized.

The invention discloses a home page multi-component parallel prefetching and rendering first screen acceleration method and device and a storage medium, and the method comprises the following steps: constructing a global dependency relationship model based on the metadata and dependency relationship of each component of a home page, and calculating the priority for each component according to a predefined priority evaluation strategy, generating a component scheduling sequence constrained by the priority and the dependency relationship; controlling a concurrency control strategy of the component; preferentially rendering a visual placeholder structure, and smoothly replacing the real content to a user visible area through a progressive rendering replacement strategy; when the variable quantity of the component data exceeds a preset threshold value, triggering an increment updating strategy based on the difference content; generating a cache identifier according to component granularity, reading and writing data in a multi-level cache structure based on the cache identifier, and ensuring data consistency by adopting a background asynchronous verification strategy; and collecting performance indexes in a page rendering process, and adjusting the priority evaluation strategy, the concurrency control strategy and the increment updating strategy according to the performance indexes.

The invention provides a multi-modal large model question and answer evaluation system based on a unified platform and benchmark. The system comprises a visual question and answer evaluation platform, a question and answer benchmark based on a unified capability framework and an evaluation strategy based on a large language model. The visual question and answer evaluation platform is a unified platform which is based on concurrency control and supports multi-modal data; the systematic evaluation of the model performance is realized through a standardized data structure and task design according to the homemade question and answer benchmark; the evaluation strategy scores the answers based on multiple independent scores and a semantic comparison mechanism. According to the method, efficient task scheduling and stable performance expression are realized, and the requirements of a high-load evaluation scene can be met; systematic evaluation of different model performances is realized, and all core capabilities required by questions and answers of owners are covered. And the answers are scored based on multiple independent scoring and a semantic comparison mechanism, so that the scoring accuracy and consistency are improved, and the limitation of a traditional evaluation method in processing complex answers is overcome.

The invention relates to a visual component management method and system based on support of multi-user collaboration, and belongs to the technical field of computer software collaborative design. Wherein multi-party editing requests are received and verified through a cooperative access mechanism, structured component data are constructed by using a component modeling model, concurrent control and a difference buffer are adopted to coordinate parallel modification, write conflicts are identified and processed based on a conflict detection algorithm, and traceable management of component versions is realized through a snapshot generation model. According to the method, efficient, consistent and conflict-controllable unified management of the visual components in a multi-person online cooperation scene is realized, and the cooperation efficiency of component development and the system reliability are effectively improved.

The invention discloses a concurrency control method and device, electronic equipment, a storage medium and a product. The method is applied to a concurrency control system comprising a processor and a bus controller, and comprises the steps that the processor responds to an atomic operation request of a target thread and sequentially sends a storage area switching instruction and a register operation instruction to the bus controller; the bus controller responds to the storage area switching instruction and the register operation instruction, executes storage area switching operation, generates a bus occupation maintaining signal and continuously executes register read-write operation in a target storage area; the processor sends a scheduling request to an operating system, so that the operating system improves the priority of the target thread to be a first priority; and the bus controller generates a bus release signal after the atomic operation of the target thread is finished. According to the scheme, through cooperation of the processor and the bus controller, atomized execution of thread Bank switching and register reading and writing is achieved, and the concurrency performance is improved while the reliability and consistency of data are ensured.

The invention discloses a system and a method for supporting multi-version concurrency control in a column storage database, belongs to the technical field of databases, and aims to solve the technical problem of how to provide efficient and flexible concurrency control and data operation management. Comprising a multi-version management module for creating a transaction ID and a timestamp for each transaction and maintaining a version linked list for each data segment in a column storage database; the operation optimization module is used for performing data operation on the data in the column storage database based on the submitted transaction, performing operation according to a comparison result of a version number and a transaction timestamp when the data operation is executed, and storing the data before modification into a revocation buffer area; the transaction conflict processing module is used for detecting and processing transaction conflicts based on a preset conflict processing rule; the storage space management module divides the storage of the column storage database into table storage and local storage; and the version linked list management module is used for deleting the version information which is no longer referenced by any active transaction based on the transaction state and the version information.

Clock times may be stored at nodes of a database system that are used to provide access to database data using Multi-Version Concurrency Control (MVCC) and implement isolation for distributed transactions. When an access request is received at a processing node of a database, the snapshot time of the access request is determined. The snapshot may be a range of time, with an earliest and latest timestamp. If the snapshot time has a latest time stamp greater than a current timestamp in the clock time, then the clock time may be updated. The clock time and snapshot time may be used to implement time-based MVCC to select a version of a tuple stored in the database to use for performing the access request.

The invention provides a linkage control method and system for computer auxiliary equipment, and the method comprises the steps: generating an equipment linkage control instruction sequence through prediction probability distribution, managing a multi-equipment concurrency control request through a priority queue, and dynamically adjusting an instruction execution sequence according to the equipment response time and the resource occupation condition, if the response time of the equipment exceeds a preset delay threshold value, reducing the linkage priority of the equipment and activating standby equipment; and adjusting equipment linkage strategy parameters according to a model updating result, adopting an adaptive threshold mechanism to optimize a prediction trigger condition, calculating a user satisfaction index through a moving average algorithm, and if the satisfaction is lower than a reference value, backtracking and analyzing operation sequence features and recalibrating personalized operation habit model parameters.

The invention provides a cross-domain transaction concurrency control method based on a lake and warehouse fusion architecture, and relates to the technical field of transaction concurrency control. Each transaction is sent to a lake and warehouse server, and a global unique mark TID is allocated to each transaction based on a local clock; according to the cross-domain transaction concurrency control method based on the lake and warehouse fusion architecture, all transactions of all lake and warehouse servers in the current time period are sorted to obtain a global sequence, then conflict detection and transaction execution are carried out, and then submission verification is carried out to obtain a global snapshot table. Local lake and warehouse transactions do not need wide area network round-trip communication, cross-lake and warehouse transactions only need one round of wide area network round-trip communication, and the overall communication delay is reduced by one round. And meanwhile, the transaction division execution based on the time interval also enables the delay of the transaction to be shared by each transaction within one epoch, so that the average delay of the transaction is reduced. And the optimistic asynchronous execution and speculation reading strategies are used, so that the data visibility in the same epoch is improved.

The invention relates to a transaction processing method and device for multi-version concurrency control and computer equipment. The method comprises the steps of obtaining a data version information table under the condition that a transaction processing request is received; the data version information table comprises a historical version identifier and a historical transaction identifier; determining at least one candidate version identifier from the data version information table according to a transaction isolation rule; determining a target version identifier from the at least one candidate version identifier based on the transaction processing request and the transaction correlation between the historical transaction requests of the historical transaction identifiers; sending the transaction processing request and the target version identifier to a transaction execution node corresponding to the transaction processing request so as to indicate the transaction execution node to perform transaction processing on the original data according to the transaction processing request, and obtaining and returning target data; and the target data is received, and the transaction processing result of the transaction processing request is obtained according to the target data, so that the transaction processing precision and accuracy are improved.

The invention provides a communication optimization method for topological table persistent storage in efficient parallel computing, belongs to the technical field of storage communication, and aims to avoid pseudo sharing by aligning memory allocation through cache lines, expand local topological coverage through a topological entropy increment driven prefetching mechanism, and improve the reliability of the topological table persistent storage. Boundary processing is accelerated through a pre-calculation period mapping lookup table and a frequency domain transfer function vector, synchronization overhead is optimized through a concurrency control mechanism perceived by a read-write ratio, targeted cache preloading is achieved through stability and jitter degree two-dimensional evaluation, bandwidth consumption is reduced through an increment synchronization mechanism, and the stability of the cache is improved. The communication template is selected or the communication parameters are generated through adaptive conversion by matching the matching degree decision, and the technical problem that the parallel computing performance is reduced due to the fact that the communication overhead is too large in the topological table persistent storage process is solved.

The invention discloses an NUMA (Non Uniform Memory Access) architecture perceived high-scalability learning index construction method and system and an operation method. According to the construction method, a mixed node tree structure is adopted to organize data, the structure comprises internal nodes accurately searched by a linear model and leaf nodes for storing data, the leaf nodes are composed of ordered gap nodes and segment nodes, and the segment nodes support dynamic evolution from an ordered stage to a semi-ordered stage based on data density. Conflict data is managed using hierarchical benchmark buckets. According to the system, a self-adaptive node evolution mechanism based on an operation cost model is realized, index performance is optimized through node reconstruction triggered by foreground write operation and background hot and cold node compression, a multi-thread concurrency control strategy is adopted, and a memory management and thread scheduling framework perceived by NUMA is adopted. The operation method provides an efficient point query and point insertion operation process. The data layout can be dynamically optimized, the operation cost is reduced, and the method is suitable for high-performance database and memory management scenes.

The invention provides a storage device, a storage method and a storage access method based on lake and warehouse integration. The storage device comprises a storage management unit, a unified metadata management unit and a federal query engine unit, the storage management unit is used for realizing hybrid storage and dynamic hierarchical storage; the unified metadata management unit is used for metadata atlas construction, concurrency control and GDPR compliance support; the federal query engine is used for intelligent routing decision, SQL dialect unification and intelligent push-down optimization; based on a lake and warehouse integrated storage device and an access technology thereof, unified management of structured and unstructured data is supported, the problem of data islands is avoided, and cross-engine data visibility is realized through unified metadata management; according to the lake and warehouse integrated storage device and the access method, technologies such as a dynamic hierarchical storage strategy, intelligent routing decision, intelligent push-down optimization and the like are fused, and the storage and access efficiency and the robustness of the system are greatly improved.

The invention relates to the technical field of retail management, in particular to a retail end online management method and system based on concurrency control, and the method comprises the steps: constructing a retail knowledge graph based on historical transaction logs through employing a space-time interaction entropy weighting algorithm; calculating a local topology edge density increment by applying a streaming dense subgraph increment mining algorithm, and determining a topology aggregation state of a target node; if the state is the mixed concurrent state, constructing an inventory time slice mirror image containing a reference inventory domain and a dynamic increment domain; and writing the request into the lock-free annular buffer during checking, and merging data by adopting a time sequence alignment algorithm after checking to carry out atomized updating. According to the method, static inventory and dynamic sales are physically isolated by constructing the inventory time slice mirroring and lock-free buffer mechanism, the read-write conflict in the scene of inventory while sales is solved, and zero-blocking hybrid concurrence is realized while the final consistency of inventory data is guaranteed.

The invention discloses a first-in first-out semaphore scheduling method based on a POSIX interface, and the method comprises the steps: modifying a POSIX interface of a user space and a cortex synchronization mechanism of a kernel space, increasing the support for an FIFO strategy, defining a semaphore strategy type identifier, and modifying a correlation function to support the setting of a scheduling strategy when semaphore is created. And modifying the system call to process the FIFO policy semaphore; and unifying the priority of each semaphore application thread, inserting the threads into a waiting queue according to an application sequence, and awakening the thread which firstly enters the queue when the semaphore is available. According to the method, the performance and the resource utilization rate of multi-thread concurrency control in the embedded real-time operating system are improved, meanwhile, the problems of deadlock, hunger and the like are avoided, and the reliability and the user experience of the system are improved.

The invention discloses a report generation agent method, system and device driven by a large language model and a medium, and the method comprises the steps: constructing an agent execution framework independent of a native interface, outputting a decision through a cue word constraint model in a JSON structure, and scheduling a local tool function; analyzing the reference data and constructing a local vector knowledge base supporting semantic retrieval; the intelligent agent autonomously plans and generates a report directory structure based on a local vector knowledge base, stores the report directory structure as a structured intermediate file as a persistent intermediate representation, generates chapter content in parallel by utilizing a concurrent flow control and exponential backoff retry mechanism and combining a mixed retrieval strategy, and serializes and updates the chapter content to the intermediate file in real time; and finally, converting the intermediate file into a target format report according to a mapping rule. The system, the equipment and the medium are used for implementing the method. According to the method, the efficiency and the accuracy of complex report generation are remarkably improved through agent whole-process autonomous driving and combination of persistent intermediate representation, retrieval enhancement and concurrency control technologies.

The invention provides a database concurrency control and memory access optimization method which can be applied to the technical field of computer system software performance optimization. According to the method, multi-level instruction-level reconstruction is carried out on an execution path of a database kernel through the characteristics of an underlying hardware instruction set of a collaborative application processor platform, and the method comprises the following collaborative implementation optimization dimensions: based on a register file and a cache hierarchical structure of the processor platform, an access mode of a database core data structure is optimized; the number of memory access instructions is reduced; the data locality is improved; on the basis of atomic instruction set extension of a processor platform, instruction-level reconstruction is carried out on key primitives in a database multi-thread synchronization mechanism so as to reduce the overhead and contention of synchronization operation; on the basis of single-instruction multi-data-stream extension of a processor platform and a vector atomic operation instruction of the single-instruction multi-data-stream extension, parallel acceleration is carried out on batch life cycle management operation of objects in a database.

The invention discloses an AI policy consultation database and an AI consultation method, and belongs to the technical field of artificial intelligence and government affair information services. The invention aims to solve the problems of unreliable information source, large semantic understanding deviation and low policy matching accuracy of the existing general AI tool in the field of policy consultation. According to the technical scheme, the method comprises the steps that a multi-level, multi-dimension and versioning management policy database is constructed, and entity version snapshots and a multi-version concurrency control (MVCC) mechanism are adopted to process time sequence conflicts caused by policy revision; the retrieved trusted policy text and an original query request of a user are integrated into an enhanced Prompt (Augmented Prompt); and receiving and analyzing a preliminary conclusion returned by the LLM, and generating a standardized policy consultation report containing a structured table and attachments by using a natural language generation (NLG) and chapter structure analysis technology. And the accuracy, timeliness and reliability of policy consultation are remarkably improved.

The invention provides a transaction data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring the market information of an electric power spot market in a current period, declaration strategies of a plurality of users and execution return in a previous period; performing priority ranking on the users based on the strategy and the market information to obtain a ranked user sequence; obtaining a target order of the user based on a standard price determined by the market information and the strategy, a price change step length and a transaction electric quantity in the strategy and the user sequence; carrying out comparison processing on the target order and the hung order executing the return to obtain a comparison result; and generating an order execution operation in the current period based on the comparison result, the target order and the hung order. According to the method, aggregation and account-level concurrency control in a period can be realized, so that stable throughput and low jitter can be kept under multiple parallel users, and high concurrency stability in a transaction data processing process is improved.

The invention provides an image tile service elastic concurrency control method and system under bandwidth constraint, and relates to the technical field of communication networks, and the method comprises the steps: inputting the collected actual bandwidth data of an image tile service into a preset time sequence prediction model, and outputting a future bandwidth use prediction value; determining a bandwidth utilization rate and a bandwidth early warning level in combination with a preset fixed exit bandwidth threshold value; when an access request is received and the bandwidth early warning level exceeds a preset early warning level, if the target image tile does not belong to the high-frequency tile set, returning the target image tile data with the original quality to the client; and otherwise, adjusting the image coding parameter of the target image tile, generating temporary tile data after quality reduction and compression, and returning the temporary tile data to the client. By implementing the method, the image browsing quality of the user can be maximized in the bandwidth unsaturated state while the high concurrency connectivity of the service is guaranteed.

The invention relates to a cross-domain large file transmission method and device based on dynamic fragmentation. The invention aims to solve the problems of maximum capacity limitation, network instability, security and the like in the cross-domain transmission process of large files. According to the method, efficient and safe transmission of large files is realized by dynamically adjusting fragment size parameters and combining encryption transmission, breakpoint resume and multi-task concurrency control technologies.

The invention discloses an unstructured document multi-modal analysis and semantic metadata deep extraction method and system based on multi-agent collaboration. The method comprises the steps that multi-modal elements such as texts, images and tables are extracted in parallel through a multi-format unified analysis engine; a four-agent (table structure analysis, multi-modal image analysis, semantic text understanding and metadata extraction) collaborative architecture is adopted, and task decomposition, asynchronous scheduling and result fusion are realized based on a multi-agent collaborative scheduling algorithm; the performance is improved by combining dynamic concurrency control, memory optimization and an intelligent cache mechanism; and finally generating structured output. The system integrates the modules and supports micro-service architecture and stability guarantee. According to the method, multi-modal deep semantic understanding is achieved, the processing efficiency is improved by 3-5 times compared with that of a traditional method, the text / table analysis precision reaches 98% and 95% respectively, localized efficient processing and incremental updating are supported, and a high-quality data source is provided for enterprise knowledge management and content retrieval.

The invention provides a backscatter communication node multivariate algorithm fusion task scheduling and scheduling method, and belongs to the technical field of passive communication. According to the method, through command interaction between a gateway and a sensing node, LSTM model parameters are optimized by using a genetic algorithm, and a sensing chip scheduling strategy is dynamically adjusted in combination with Q-learning. And the gateway predicts the data uploading time point of the sensing node according to the calculated data packet uploading time interval, determines the available time period of an uplink, and realizes efficient task scheduling. According to the method, the communication resource occupation condition can be accurately grasped, the task execution efficiency of the sensing node is remarkably improved, and the communication collision problem under high concurrency control is effectively solved.

The invention provides an offshore wind power plant heterogeneous data lake snapshot integration method supporting dynamic backtracking, and aims to solve the problems of high operation and maintenance cost, inconsistent mass real-time data access and low historical backtracking efficiency caused by the fact that an existing Lambda architecture needs to maintain double computing engines. And constructing an incremental snapshot chain to support efficient data version backtracking. Specifically, the method comprises the following steps: designing a dynamic snapshot generation module based on time window division, and converting real-time streaming data into traceable continuous snapshot segments; a multi-version concurrency control engine is developed, and ACID transaction overhead is reduced through column type differential storage; meanwhile, a dynamic metadata sensing layer is established, a backward compatible mapping rule is automatically generated when a data mode is changed, and continuous and stable operation of a calculation engine is guaranteed; according to the method, the operation and maintenance complexity of the offshore wind power plant data lake is remarkably reduced, efficient integration of heterogeneous data and accurate backtracking of historical states are realized, and the data availability of fan fault diagnosis is effectively improved.

The invention discloses a system, device and method for writing data warehouse data into HBase, and the method comprises the steps: converting offline data into an Hfile format, obtaining Hfile files, and copying the Hfile files to a specified hdfs directory of Hbase in batches; after the batch copying succeeds, generating a state message for identifying that the batch copying of the Hfile files succeeds; and informing an online system application of the state message through kafka, so that the online system application can concurrently control each node of the HBase to load the Hfile files in batches in a Hfile data batch loading mode. According to the method and the device, the speed of writing the data in the data warehouse into the Hbase can be increased, and the load of online system application is reduced.

In some implementations, a web instance may receive an indication of an event associated with a uniform resource locator (URL) that includes a slug. The web instance may determine, using an indicator encoded in the slug, that the URL is associated with an action that is included in a concurrency control group. The web instance may communicate with a remote database to determine whether the concurrency control group is locked. The web instance may selectively trigger execution of the action based on whether the concurrency control group is locked.