314 results about "Distributed transaction" patented technology

The invention provides a Python-based automatic system configuration and monitoring method and system, and relates to the technical field of automatic system configuration and monitoring, and the method comprises the steps: constructing a multi-level service dependence model and a service node affinity matrix, generating a configuration parameter priority queue, and completing the initial configuration of a system through a distributed transaction coordinator. When the system runs, the monitoring agent program collects system running data, calculates a node health degree index and shares the node health degree index through the net-shaped sharing channel. And the core node performs data association analysis and updates a node load value and a health degree index. And when the node health degree is lower than a preset threshold value, triggering an alarm processing module, selecting an optimal node based on a node health state evaluation report to execute reconfiguration, updating a service registration center and broadcasting a configuration updating message. According to the invention, automatic system configuration and monitoring can be realized, and the system reliability and stability are improved.

The invention provides an intelligent analysis and execution method and system for database cascading operation, and relates to the technical field of database management.The intelligent analysis and execution method comprises the steps that a target table and an association table are extracted through a recursive query algorithm, field mapping analysis is carried out to generate a dependency weight matrix, cyclic dependency is recognized based on the matrix and decomposed into directed acyclic subgraphs, and the directed acyclic subgraphs are analyzed; node depth values and breadth values are calculated for topological sorting to generate an execution sequence; performing node classification on the execution sequence, organizing the execution sequence into a batch processing task group, calculating an optimal execution path through an adaptive path optimization algorithm, generating a distributed transaction control instruction, and allocating the task group to an execution thread pool for execution by using a consistent Hash algorithm; monitoring an execution process, dynamically adjusting thread pool resources according to a performance prediction value, executing cascade rollback when an exception occurs, and reconstructing a transaction execution path; according to the method, the execution efficiency and stability of the database cascade operation can be effectively improved, and the system resource consumption is reduced.

The invention provides a different types of database visualization table management method and system, and relates to the technical field of computers.The method comprises the steps that a database general operation system comprising a general operation interface and a dialect abstract base class is constructed, and a query performance evaluation system is established based on performance data; and predicting an optimal database connection mode through deep reinforcement learning and generating a multi-stage execution plan. Meanwhile, an anomaly feature knowledge base based on a graph neural network is constructed, and anomaly prediction and preventive processing are carried out based on the anomaly feature knowledge base. A multi-stage execution plan is executed after a database operation request is subjected to grammar adaptation, and a distributed transaction processor dynamically adjusts a transaction isolation level and a concurrency control parameter. And finally, according to the terminal and the data volume, selecting a proper data display mode to carry out visual presentation.

An autonomous tracking system receives a request to administer a patient-specific therapeutic comprising a scanned identifier associated with a labeled dual chamber device (DCD) including a first chamber having one or more lyophilized components, a second chamber having a reconstitution buffer, and a locking mechanism for controlling access to the DCD chambers. A tracking engine queries an administration database based on the scanned identifier to find a notarized ledger associated with the DCD and retrieves a blockchain entry comprising a first distributed ledger transaction identifying the one or more lyophilized components and a digital token associated with an owner of the labeled DCD. After the owner is authenticated, a second distributed transaction is created identifying the one or more lyophilized components as being authorized for administration to the patient. In response, autonomous access to the one or more lyophilized components unlocks the locking mechanism to administer the medication.

The invention discloses an energy big data right confirmation method and system based on a hierarchical hash tree and dynamic authorization, and belongs to the field of energy big data management and information security, and the method comprises the steps: obtaining and standardizing original data in an energy scene, and dividing the original data into a data block set according to equipment and time; constructing a hierarchical hash tree and generating root hash; writing the root hash and the associated metadata into the block chain to realize right confirmation and evidence storage; executing proxy re-encryption according to the access token, and converting the ciphertext into a decryptable format; verifying the data consistency through the Hash path and the root Hash, and completing the access; and recording the access behavior and distributing transaction earnings by the smart contract based on the contribution degree. Hash calculation and local path updating of a data block level are supported through a layered Hash tree structure, so that when large-scale energy data is frequently updated, a new root Hash value can be quickly generated and right confirmation updating can be completed only by carrying out local Hash recalculation on a changed path.

The invention relates to the technical field of computers, and discloses a multi-database deployment method based on a server cluster, which comprises the following steps of: distributing transaction state information for each database node, and realizing data consistency among the nodes in the database cluster by utilizing a consistency operator; a data synchronization path is optimized according to the topological structure between the nodes, and an optimal path is selected to reduce data transmission delay; the synchronization data volume is reduced through an increment synchronization and redundancy elimination method; designing and implementing a fault recovery strategy to ensure that the normal operation of the system is rapidly recovered when the database node has a fault; and dynamically adjusting a synchronization strategy and a consistency level of the database cluster according to a system load condition. By adopting the technical scheme based on transaction state vector allocation and consistency operator mapping, the technical effect of efficiently realizing data consistency in a distributed database environment is achieved. The problems that the consistency maintenance efficiency is low and data conflicts are prone to occurring in a high-concurrency scene are solved.

The invention provides a shared economy separate account checking method based on a block chain, and relates to the technical field of block chains and Internet of Things, and the method comprises the steps: constructing an alliance chain on a block chain platform, and defining business logic and rules through an intelligent contract, so as to ensure the consistency and safety of information. Based on an intelligent chip, data can be automatically linked, and through a zero-knowledge proof technology, consistency of on-chain and off-chain data is verified, and privacy is protected. In this way, the consumption order amount can be automatically divided to the bank account of the related subject, the account balance is generated, and account book synchronization is achieved. Transactions are checked regularly, abnormity is processed, and the accuracy of intelligent account division and account checking is ensured. If the preset subject is changed, the change can be adapted by updating the smart contract, and the flexibility is improved. In addition, a TCC distributed transaction management scheme and a consensus mechanism are introduced, so that the efficiency of account division and account checking is improved, and the stability and reliability of the system are kept.

The invention discloses a distributed extensible deterministic transaction execution method for a fragment permission chain system, which is characterized in that distributed multi-version tentative deterministic concurrency control and batch transaction submission mechanism strategies are adopted to realize multi-node extensible deterministic transaction concurrency execution under a conflict load. According to the distributed multi-version tentative deterministic concurrency control, a batch of transactions in a block are sorted in advance in a consensus manner, and a globally unique and automatically increasing transaction sequence number is allocated, so that a result of concurrent execution of the transactions is equal to a result of serial execution according to the transaction sequence number; according to the batch transaction submission mechanism strategy, submission of a plurality of cross-piece transactions is combined and processed by adopting batch processing, and network overhead required by submission is uniformly shared. Compared with the prior art, the method has the advantages that multi-node expandability under conflict loads is realized in a distributed scene, strict certainty of an execution scheme is guaranteed, the overall performance and transaction processing performance of the system are improved, and the method has a good application prospect.

The invention provides a monitoring data linkage method between code-free applications, automatic identification and mapping of data structures between the applications are realized by constructing a metadata description model and a field similarity function, and data change detection is performed by adopting an improved locality sensitive hash algorithm. Through a distributed transaction control mechanism, data consistency in cross-application data linkage is ensured, and a multi-stage bloom filter and a distributed transaction feature evaluation model are designed. Furthermore, data synchronization is realized by utilizing a synchronous vector field, and data synchronization batch processing and concurrency adjustment are optimized in combination with a Gaussian divergence theorem. Besides, the invention provides abnormal recovery path optimization based on the minimum action quantity, the reliability of data linkage is ensured, and a dynamic data security protection mechanism is constructed through a wave function, a diffusion equation and nonlinear mapping.

The invention provides an intelligent error processing method and system for a cross-platform RPA robot, and the method comprises the steps: creating error detection factories for the operation data of a plurality of operation systems, and capturing an error data flow through the error detection factories; classifying and rating the error data flow to obtain an error classification and rating result; performing joint optimization on the error classification rating result according to a preset rule engine and a preset reinforcement learning model to obtain a dynamic error recovery strategy; decomposing the dynamic error recovery strategy into a plurality of atomic operations, and mapping the atomic operations into target recovery operations according to the target operating system; and coordinating the target operating system to execute the target recovery operation through the distributed transaction manager.

Distributed execution of transactions may be performed across shards of a scalable database table. Instructions to perform as part of a transaction with respect to one or more database tables may be received. The instructions may be evaluated with respect to metadata obtained for the database tables to determine an assignment distribution of computing resources of the database system to data that can satisfy the access request. The commit protocol for the transaction may be determined according to the assignment distribution of the computing resources. After a request to commit the transaction is received, the transaction may be committed according to the determined commit protocol.

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 embodiment of the invention provides an order implementation method, system and device based on distributed transactions, equipment and a storage medium, and relates to the technical field of computer application. Receiving an order request sent by user equipment, and sending a TRY request to each micro-service in the plurality of micro-services in parallel; after it is determined that the data reservation operation of each micro-service is successful, CONFIRM requests are sent to each micro-service in parallel; and after determining that the data reservation operation of any micro-service fails or receiving a cancel request for any micro-service, respectively sending a CANCEL request to each micro-service, so that each micro-service cancels the data reservation operation of the micro-service after receiving the CANCEL request sent by the order service. According to the invention, the method achieves the control of a plurality of micro-services, improves the business processing efficiency while guaranteeing the consistency and atomicity of distributed transactions, and further improves the business throughput.

The invention relates to the technical field of database monitoring, in particular to a database interaction-oriented software performance bottleneck monitoring system, which comprises a three-dimensional tensor construction module for acquiring a transaction operation chain of each node and a latch contention waveform and an IO bandwidth pulse sequence associated with the transaction operation chain in real time through a distributed transaction probe to generate a three-dimensional tensor; the tensor decomposition module is used for inputting the three-dimensional tensor into a decomposition model to generate a competitive intensity spectrum; the dynamic back pressure regulation and control module is used for identifying competition hotspots according to the competition intensity spectrum, and injecting back pressure pulses with phase difference into a transaction scheduler when detecting that a latch contention waveform and IO bandwidth pulsation form resonance; according to the method, active feedback intervention of a database kernel layer on competitive behaviors is realized, the problem of centralized preemption of lock resources caused by frequency resonance can be effectively broken through especially through scheduling offset and a progressive exit mechanism, and the instantaneous congestion probability of the system and the transaction-level delay fluctuation amplitude are reduced on the premise of not influencing the transaction consistency.

In an example method, a distributed transaction network includes a first computing node and a second computing node. The second computing node receives a data record from the first computing node, including an indication of a proposed transaction, an indication of a transaction value associated with the proposed transaction, and an indication of a smart contract associated with the proposed transaction. The second computing node validates the proposed transaction. Upon validating the proposed transaction, the second computing node receives the transaction value from the first computing node, and adds a transaction record to a distributed ledger of the distributed transaction network to indicate receipt of the transaction value from the first computing node.

The invention provides a business system development method and device and a storage medium, and the method comprises the steps: in the business system development method, obtaining a visual configuration page based on a front-end low-code framework, configuring a data verification rule corresponding to the visual configuration page, and generating an initial business system based on the configured visual configuration page; and performing data synchronization processing on each service module in the initial service system, and generating a target service system, thereby realizing online development of the service system, improving the development efficiency through low-code development, reducing the development threshold, solving the problem of difficult updating of a mobile terminal through non-release updating, performing data synchronization on each service module, and improving the user experience. Therefore, integration of service modules of distributed transactions is realized, data consistency and high availability of the generated target service system in a distributed environment are ensured, and the development efficiency of the service system is improved.

The invention discloses mixed analysis middleware based on a cross-type database and a query method. The mixed analysis middleware comprises a data source management module, a non-relational database object mapping module, a multi-tenant authorization management module, a context-independent grammar construction prediction analysis table, an expansion BNF elimination left recursion module and a distributed transaction control module. Through the middleware, the requirement that an application system needs to use data in a cross-database mode in the petroleum industry is met. Cross-database query of relational and non-relational databases is realized, database access and service modes are unified, large application systems and platforms containing various types of data storage products are supported, the development efficiency of the application systems is greatly improved, and the learning threshold of research and development personnel is reduced. Meanwhile, through the provided multi-tenant and authorization management, monitoring and review of data row-level security can be realized, sensitive data are effectively protected, and data leakage is prevented.

The invention discloses a low-code platform-oriented distributed transaction engine generation method and system and a medium, mainly relates to the technical field of engine generation, and is used for solving the problems of high transaction model selection error rate, low compensation logic development efficiency and poor static strategy adaptability of an existing low-code platform. Comprising the following steps: acquiring a business process, converting the business process into a 128-dimensional feature vector, and determining a corresponding CART decision tree type; inputting the 128-dimensional feature vector into a corresponding CART decision tree to generate a transaction execution plan; inputting specific data of preset core features into the TD3 model, and generating transaction submission intervals and resource allocation data of transactions in the transaction execution plan; collecting a transaction rollback log corresponding to the transaction execution plan, encoding the transaction rollback log into a 512-dimensional semantic vector, and inputting the 512-dimensional semantic vector into the LSTM model to obtain a compensation code; and when the compensation code is updated, injecting the updated compensation code into the runtime environment through a code instrumentation technology.

A data processing method, apparatus, medium, device and computer program product, the method comprising: in response to receiving cancel-after-verification data, updating a first available quantity of the cancel-after-verification data in a cache according to the cancel-after-verification data; if it is determined that the first available quantity is successfully updated, creating a data record corresponding to the cancel-after-verification data; determining a cancel-after-verification state of the data record based on the cancel-after-verification data According to the cancel-after-verification state of the data record, a second available quantity of the cancel-after-verification data in the database is updated, and the initial value of the first available quantity is the same as the initial value of the second available quantity. Therefore, the data consistency in the data processing process can be ensured by combining the second available quantity in the database and the first available quantity in the cache. Moreover, based on the scheme disclosed by the invention, the problems of high requirements of distributed transactions on a database and high resource consumption are solved, the method can be suitable for data processing in a scene with limited resources, and the application range of the method disclosed by the invention is widened.

The invention provides an online interactive programming education system based on a micro-service architecture, and the system comprises an infrastructure layer which serves as a bottom layer computing power and provides an elastic computing power through a cross-cloud deployment technology and a dynamic resource scheduling technology; the platform core layer constructs a stateless micro-service cluster through a service registration discovery module, a load balancing module and a fusing mechanism module depending on elastic resources of the infrastructure layer, and the infrastructure layer provides physical resource guarantee for operation of the micro-service cluster of the platform core layer; the platform support layer is used for integrating an authority management component, a workflow engine component and a general service component based on a stateless micro-service cluster constructed on the platform core layer, and providing resource isolation and high-concurrency task scheduling support in a multi-tenant environment for the programming education system; the platform core layer is combined with distributed transaction management to provide stable service scheduling and communication capability for an authority management component, a workflow engine component and a general service component of the platform support layer; and the platform application layer combines service scheduling and communication capabilities, realizes teaching functions such as multi-language development, code debugging visualization, AI personalized suggestion and collaborative learning, and directly serves programming learning of students and teaching management requirements of teachers.

The invention discloses a separate memory transaction system based on a hierarchical block version chain, and belongs to the field of distributed transaction systems, the system enhances the elasticity of an array structure through chain extension, constructs a multi-version data management mechanism capable of dynamically extending, and realizes low-delay version batch processing reading with the assistance of lightweight block-level indexes. An asynchronous index updating mechanism is adopted, index consistency is guaranteed through sub-node block-level index updating and propagation, and synchronization overhead is reduced; a hybrid garbage collection strategy of transaction state perception is adopted, and an outdated version multiplexing and hotspot identification collection method is combined, so that a version structure is compressed, and remote data transmission redundancy is reduced. Besides, in order to adapt to a lock-free read-write concurrent environment, a version integrity verification mechanism based on a single-side RDMA primitive is introduced, and access consistency and atomicity between metadata and version data are ensured. According to the method, the transaction throughput capacity and the access delay stability can be remarkably improved under the high-concurrency TPC-C load, and good expandability and engineering practical value are achieved.

The invention discloses a trusted distributed transaction method and device for a virtual power plant, equipment and a medium, and the method comprises the steps: calling a preset transaction matching smart contract, carrying out the matching of an electricity purchasing transaction request and an electricity selling transaction request, and adding a timestamp to form a transaction order after the matching succeeds; and encrypting the transaction order to form a transaction record, and storing the transaction record in the block chain network. A virtual power plant distributed transaction framework is designed by using the characteristics of decentralization, openness, transparency and non-tampering of a block chain, a transaction matching mechanism is established at the same time, and automatic matching of two transaction parties is completed through an intelligent contract. The block chain technology is applied to the virtual power plant, the contribution value of the distributed energy to the system can be guaranteed, that is, the output condition is open and transparent, and the system can reasonably measure and dispatch the output condition.

The invention discloses a road berth charging and control system for realizing multi-level fault tolerance and a method thereof, and belongs to the technical field of intelligent traffic systems and Internet of Things. The system adopts an edge computing and distributed sensing collaborative architecture, and is composed of an edge controller (ECU) and a sensing and control unit (SCU) deployed in a berth. High availability of the system is ensured through fault-tolerant design of three core dimensions: firstly, perception layer fault tolerance dynamically adjusts data fusion weights of geomagnetism, millimeter wave radar and visual AI according to real-time environment data such as rainfall and electromagnetic interference by integrating an environment perception sub-module; secondly, network layer fault tolerance utilizes an immutable transaction log and a Saga distributed transaction compensation mechanism to realize local charging and digital RMB double offline payment when cloud connection is interrupted, and data consistency is ensured after network recovery; and finally, a hardware layer establishes a neighborhood cooperation protocol based on a signature agent command through fault tolerance, and a healthy node is allowed to act as an agent fault node through safety verification to execute an unlocking instruction. According to the invention, the problems of environmental interference, network interruption, single-point hardware failure and the like in unattended parking management are effectively solved, and the robustness and financial security of the system are remarkably improved.

The micro-service processing system provided by the embodiment of the invention comprises an event identification module which is used for defining a business domain event type and registering an event attribute structure; the event bus module constructs a distributed communication network containing a dual-channel message queue, and the event bus module implements partition routing according to event types; the event processing module is composed of an event producer and a consumer which are executed asynchronously, the event producer packages service actions into a standardized event data packet, and the consumer processes subscription events through a thread pool; the event storage module adopts a hierarchical log database for persistence of an event sequence and supports reestablishment of a service state according to a timestamp; and the security control module is used for implementing service authentication and event content encryption on a transmission layer. Through event bus dual-channel design, sender box transaction binding and hierarchical storage optimization, millisecond-level event processing delay is realized while the reliability of distributed transactions is ensured, and second-level state recovery can be realized based on a complete event log when a service fault occurs.

The invention relates to the technical field of cloud computing, and discloses a multi-cloud certificate deployment intelligent arrangement engine system, which comprises a unified abstraction layer used for providing a standardized certificate deployment interface; the intelligent arrangement engine is used for analyzing a deployment task dependency relationship and generating an optimal deployment path; the distributed transaction management module is used for coordinating deployment transactions of the cross-cloud platform and ensuring the consistency of operation; and the strategy optimization and learning module is used for optimizing the deployment strategy based on the historical deployment data. According to the method, the cloud platform difference is shielded through the unified abstraction layer, the consistent deployment experience is provided, and the adaptation workload in the multi-cloud environment can be remarkably reduced; the deployment path is optimized through the intelligent arrangement engine, so that the deployment time can be remarkably shortened; through distributed transaction management, transaction consistency of cross-cloud deployment is ensured, and strong fault recovery capability is provided. Through multi-objective optimization and online learning, the system can automatically balance the cost, the performance and the reliability, so that the resource utilization rate is greatly improved.

The invention is suitable for the technical field of distributed transaction, and provides a power distribution network electric energy distributed transaction method, system, device and medium, and the method comprises the steps: a distributed energy demand end obtains power generation supply information data issued by each distributed energy supply end, and carries out the data arrangement and cleaning of the power generation supply information data; the distributed energy demand end sets power consumption demand variables, determines node variables of the Bayesian network based on the sorted and cleaned power generation supply information data and the power consumption demand variables, determines correlation between the node variables, constructs a Bayesian network structure and performs parameter learning; analyzing the transaction relevance with each distributed energy supply end according to the constructed Bayesian network structure and the learned parameters; and determining a target transaction supply end and a corresponding transaction strategy based on the transaction relevance. According to the method, the supply end matched with the demand end is screened by using the Bayesian algorithm, so that the efficiency of bilateral negotiation distributed transaction is effectively improved.

The invention discloses a distributed transaction coordination system for a high-concurrency scene, and particularly relates to the technical field of distributed computing and transaction management. The system comprises a transaction manager, a resource agent group and a log storage module, the transaction manager receives a transaction request, generates a global transaction identifier and maintains a state machine, and an internal fragment coordinator routes the transaction to different processing fragments according to a consistent Hash algorithm for parallel coordination; the resource agent group is connected with each resource node, executes local operation and reports a state through an asynchronous batch mechanism; and the log storage module adopts a multi-copy distributed structure to persist transaction logs. Through fragment parallel processing, asynchronous state reporting and multi-copy log cooperation, the system throughput is effectively improved, the transaction delay is reduced, and the final consistency and high availability of distributed transactions are guaranteed.

The invention discloses a distributed transaction consistency guarantee method and server for medical information integration, and relates to the technical field of platform integration, and the method comprises the steps: obtaining a business operation identifier; according to the business operation identifier, analyzing and determining a plurality of distributed medical service participants participating in the global transaction in a preset participant configuration file, and generating a global unique transaction ID; key service state parameters are extracted, and an instantaneous state vector is constructed; generating a transaction pre-check request containing a global unique transaction ID and an instantaneous state vector, and distributing the transaction pre-check request to all distributed medical service participants in parallel; summarizing all the pre-check responses, and under the condition that all the pre-check responses are successful responses, using the instantaneous state vector as a lock identifier, and obtaining exclusive locks in the distributed lock service; and issuing a final execution instruction to all distributed medical service participants to submit the local transaction. The risk of medical negligence threats caused by transaction rollback can be effectively reduced.

The invention relates to the technical field of distributed transactions, in particular to a distributed steady-state transaction environment building method and system, and the method comprises the following steps: building an independent fragment for a high-frequency target according to the real-time request frequency of a transaction target; combining the low-frequency standard to a shared fragment; based on the fragment type, chain type synchronization is adopted for the independent fragments, and global broadcast synchronization is adopted for the shared fragments; nodes in the backup node group pre-load an intermediate state, and the backup node group directly generates a complete state and takes over when the main node fails; the hash chain is verified in a layered mode according to the topological structure of the fragments, local verification is adopted for the independent fragments, and global arbitration is triggered by the shared fragments; and recovering the backup nodes of the low-frequency target, and redistributing the backup nodes to the backup group or the synchronization path of the high-frequency target. According to the invention, deep coupling of fragmentation, synchronization and fault-tolerant mechanisms can be realized, and the resource utilization rate and the fault recovery speed are improved.

The invention discloses a distributed transaction bookkeeping processing method and system based on intelligent data, and relates to the technical field of warehouse logistics management, and the system comprises a distributed bookkeeping module which is used for recording transaction data in the system, and achieving the collection, classification, numbering and temporary storage of bill information; a data processing storage module; the transaction execution module is used for executing a transaction according to the data provided by the distributed bookkeeping module; a risk supervision module; according to the invention, encryption, decryption and secure storage of data can be solved, the efficiency and security of data management are improved through decentralization processing, high-frequency transaction processing can be supported, the real-time performance of transaction and data consistency are ensured, a transaction process is automatically executed, intermediate links are reduced, the transaction efficiency is improved, and the transaction efficiency is improved. The problem that the final settlement in a distributed account book technology is not clear is solved, and legal and financial risks are reduced.