44 results about "Transaction scheduling" patented technology

The invention discloses a transaction processing mechanism optimization method and system for time series data, and belongs to the technical field of databases, and the method realizes a differentiated ACID support mechanism, strengthens atomicity and durability guarantee, and weakens consistency and isolation requirements; comprising the following steps: designing a collaborative architecture of a transaction system and a pre-write log WAL, and establishing a binding relationship between a transaction state and WAL writing; generating a WAL record only for the successfully submitted transaction operation, and performing persistent storage by adopting a batch group submission strategy; transaction scheduling is realized through a lightweight transaction manager, and the life cycle of a transaction request is managed; the functions of efficient writing of transaction granularity, log storage and rapid recovery are realized through a pre-writing log manager; through intelligent Checkpoint background service, based on a periodic incremental check point mechanism, compression merging and space recovery of the WAL file are realized. According to the invention, the performance breakthrough of the time sequence database in a high-concurrency write-in scene can be realized.

The invention provides a multi-database automatic synchronization method under an AI platform, and belongs to the technical field of database automatic synchronization. The captured change records are converted into synchronous messages in a unified format, the synchronous messages are input into an intelligent scheduling optimization model for dependency analysis and transaction reordering based on dynamic programming, data conversion rules are dynamically generated according to mode version differences, and data consistency is verified through a Merkle tree hierarchical structure; the multi-stage self-adaptive compression transmission and data writing are completed after the target node executes conflict detection and circular dependency processing, and finally the final consistency among the multiple databases is guaranteed through a periodic full-amount account checking task, so that the technical problem of synchronization performance bottleneck caused by low transaction scheduling efficiency in the automatic synchronization process of the multiple databases is solved.

The invention provides a student transaction allocation and service evaluation method and system based on multi-modal hosting, and relates to the technical field of intelligent transaction scheduling and service evaluation, and the method comprises the steps: extracting semantic features in a student transaction request, fusing the semantic features with transaction type information to generate a transaction feature vector, constructing a transaction time sequence association graph, and obtaining a transaction time sequence association graph; identifying a processing dependency relationship, and forming a transaction family and a processing priority sequence thereof; combining skill vectors of the processing personnel, and realizing an optimal matching path by utilizing self-adaptive dynamic programming; and finally, dynamic adjustment and feedback updating are performed according to the matching result and the service score, so that the transaction processing efficiency and the service matching accuracy can be effectively improved.

The invention relates to the technical field of informatization, and provides an agricultural supply chain transaction scheduling method based on the Internet. The method aims at solving the problems of information asymmetry, low logistics efficiency, unsmooth fund flow, difficulty in quality tracing and the like in a traditional agricultural supply chain. Through integrating functions of supplier information acquisition and verification, agricultural product information acquisition and classification, intelligent matching and bidding, order generation and payment, logistics scheduling and distribution, financial service, separate account management, quality tracing and the like, efficient management and transparent operation of an agricultural supply chain are realized. The method is suitable for a large-scale agricultural supply chain platform, the transaction efficiency is remarkably improved, the operation cost is reduced, the product quality is ensured, and the modernization and sustainable development of an agricultural supply chain are promoted. Through the innovative method, all links of the agricultural supply chain are optimized, the overall competitiveness is improved, the market response speed is increased, and powerful support is provided for transformation and upgrading of the agricultural industry.

The application discloses a dynamic real-time transaction scheduling method and system, which breaks the limitation of pre-defined transactions and periodic scheduling, and enables real-time transactions to be dynamically scheduled according to actual requirements without pre-defined transactions through twice priority sorting, ensures that the transactions are completed before the deadline, and significantly improves the flexibility and real-time performance of the system; on the basis of the double loop structure of the database working thread, a multi-version concurrent access strategy and a shadow node strategy based on priority inheritance are introduced, so that the real-time database system can operate more efficiently under complex transaction load, and the real-time response capability is further enhanced; priority allocation and blocking management of the transaction are performed by using the characteristics of the real-time operating system, so that the real-time performance of the real-time operating system is not damaged in the transaction scheduling process, and the efficient response capability of the system is maintained; and the application also provides a system for implementing the method.

The invention discloses a virtual power plant transaction scheduling method and device based on block chain consensus, a virtual power plant transaction scheduling architecture is constructed, and the virtual power plant transaction scheduling architecture comprises a block chain main chain and at least one block chain slave chain, the transaction center node, the dispatching center node and the at least one distributed energy node are deployed on the block chain main chain, and at least one distributed energy node is deployed on each block chain slave chain; effective collaboration of virtual power plant transaction scheduling is realized through a distributed consensus and token bucket power flow control algorithm based on a block chain. According to the invention, the fairness and balance of the scheduling of each distributed energy node in the virtual power plant can be ensured, the peak load shifting during the fluctuation of the external power transaction demand is realized, the transparency and traceability of the transaction scheduling are ensured, and the security of the device is enhanced at the same time.

The invention discloses a hot switching transaction scheduling execution method oriented to a two-stage concurrent block chain. The hot switching transaction scheduling execution method comprises hot switching scheduling based on load characteristics and a self-adaptive concurrent protocol oriented to hot switching. Firstly, based on a multi-arm bandit model, according to current load characteristics, a concurrency control protocol selected by execution nodes is dynamically switched; secondly, in order to realize hot switching of a concurrency control protocol, a multi-version data management and write intention mechanism is added on the basis of a traditional concurrency protocol: an execution node executes a transaction by using an optimistic concurrency protocol under the condition of low conflict load, and broadcasts a write intention that a write set is not submitted to other nodes; a pessimistic concurrency protocol is used to execute a transaction under a high conflict load condition, and whether a write intention of an unsubmitted block with a lower block height exists or not is checked in advance, so that the consistency of state data is prevented from being damaged by dirty reading. According to the method, fairness, high efficiency and self-adaptability of the block chain system are considered, the transaction abortion rate under the dynamic load is remarkably reduced, and the overall throughput of the system is improved.

The invention discloses an alliance chain high-conflict transaction processing method and device based on dependency graph segmentation. The method is characterized by comprising the steps that a main node optimistically executes transactions in a concurrent mode and collects and submits failed transactions; a dependency graph is constructed for failed transactions, and conflicts are avoided in a redoing stage; the main node constructs a transaction dependency graph for all transactions and segments the dependency graph; in the verification stage, transaction is executed concurrently according to the segmented dependency graph for verification, and high-concurrency execution of verification nodes is achieved. The device comprises a transaction scheduling module, a transaction execution module, a failure transaction processing module, a dependency graph creation module, a dependency graph segmentation module and a verification execution module. Compared with the prior art, the method has the advantages of reducing the number of transaction redoing times of the main node in the optimistic concurrent execution stage, improving the concurrency degree in the verification stage, being low in overhead, high in adaptability and the like, is suitable for alliance chain high-conflict load scenes, and has good popularization value and industrial landing prospects.

The invention provides a super high-rise commercial user-oriented power transaction scheduling device and method and a storage medium, and relates to the technical field of power transaction scheduling processing. According to the super high-rise commercial user-oriented power transaction scheduling device, the basic data layer collects equipment parameters to extract the total load response capability, and the circuit loss is combined to obtain the preliminary net load; the transaction data screening layer screens out tradable net loads according to user signing states and comfort constraints, the transaction decision-making layer calculates the operation and maintenance cost of a signing area and determines the optimal quotation, and the value distribution layer determines income distribution based on the optimal quotation and clarifies settlement results of cold overflow and hot overflow scenes. The method has the advantages that the decentralized function is modularly integrated, the problems of fuzzy load boundary and extensive scheduling of a traditional system are solved, link logic coherence is preserved by means of interlayer data linkage, a super high-rise complex scene is adapted, a clear framework is provided, and the overall collaboration and operability are improved.

The invention discloses a relational database-oriented transaction dependency inference method and device, and belongs to the technical field of software. In order to solve the technical problem that an existing transaction dependency inference method is insufficient in the aspect of supporting a relational data model and complex SQL operation, the technical means of adding an auxiliary column in a target database table, inserting SQL statements of concurrent transactions and inferring a dependency relationship based on transaction execution history are mainly adopted. According to the method, multiple SQL statement types and data constraints can be supported, the method is suitable for transaction scheduling scenes of different isolation levels, and accurate and efficient inference of writing-reading dependency, writing-writing dependency and reading-writing dependency between transactions is achieved.

The invention discloses a shared memory and load balancing design based on database agents. The dynamic partitioning and transaction scheduling scheme based on the PostgreSQL shared cache database, which is discussed emphatically, has extremely important research value in the aspects of quickly solving transaction conflicts, reducing page transfer quantity in transactions, relieving load imbalance and the like. The distributed shared cache architecture naturally has the capability of automatically and dynamically partitioning data, the cost of data transfer is extremely low, and manual intervention is not needed. Therefore, conflicts between concurrent transactions and a frequent page transfer phenomenon between nodes can be reduced through a mode of combining data partitioning and transaction scheduling. Due to the fact that the cost of page transfer between the computing nodes is low, when cross-partition transactions are continuously increased, only a small amount of page transfer operation needs to be carried out, and distributed transactions do not need to be processed. When the load changes, the data can be quickly subjected to re-partitioning operation by means of a load awareness technology and by adjusting the logic of transaction scheduling.

The application discloses a power transaction supply and demand prediction method and system based on a regional meteorological large model, relates to the technical field of power transaction prediction, and comprises the following steps: acquiring historical power load, new energy power generation and meteorological observation data of a target region, inputting a pre-trained regional meteorological large model, performing feature cross calculation on the three types of data through a multi-source data fusion layer, and generating an hourly gridded basic meteorological element field; calling an energy response mapping module, respectively mapping each meteorological grid into an air conditioner load response curve, a wind power output response curve and a hydropower output correction coefficient, time-aligning the mapping results to generate an energy supply side and a consumption side prediction data set, and generating a supply and demand gap time sequence according to the difference between the two. The method solves the prediction deviation and time sequence misplacement problems of the prior art, realizes deep fusion of multi-source data and accurate mapping of meteorological elements, improves the accuracy of power transaction supply and demand prediction, and adapts to the demand of power transaction dispatching.

This invention discloses a transaction scheduling optimization method based on graph embedding. Relating to the technical field of database transaction scheduling, this graph embedding-based transaction scheduling optimization method includes: constructing a heterogeneous graph based on collected transaction information, where the heterogeneous graph has transactions as vertices and relationships between transactions as edges; using a graph embedding model to learn the heterogeneous graph, mapping the transaction features in the heterogeneous graph to a low-dimensional feature space, obtaining the graph embedding representation result corresponding to the transaction information, wherein the graph embedding representation result includes the embedding representation of each vertex in the heterogeneous graph after multi-layer iterative learning of vertex features, connected edge features, and the types of edges between vertices; establishing a Markov decision process model, and using deep reinforcement learning to iteratively train the graph embedding representation result until a preset number of iterations is reached to obtain the output transaction scheduling allocation strategy. This invention solves the technical problem that existing transaction scheduling methods cannot obtain globally optimal scheduling.

This application provides a dynamic timing adaptive adjustment method for NAND Flash controller chips, relating to the field of data processing. In this method, a calibration context is centrally located within the NAND Flash controller chip. Controlled transaction scheduling drives delay sampling measurements to obtain the true physical timing characteristics between the controller chip and the memory chips. Timing configurations matching the chip states are dynamically generated based on phase distribution statistics, environmental state information, and operational state information. During system operation, hardware-level feedback statistics are performed on error correction intensity, error count, and retry count. The direction of timing margin adjustment is determined online based on phase distribution changes. Uninterrupted switching of timing configurations is completed at transaction boundaries, thereby achieving multi-round adaptive calibration and improving the performance and reliability balance under different process technologies and different lifespan stages of the chips. Implementing the technical solution provided in this application facilitates the resolution of the problem of insufficient timing adaptability of NAND Flash controller chips under complex operating conditions.

The present invention discloses a bidirectional coupling transaction scheduling method and system for payment channels. The scheduling method includes receiving a message, when the message is a transaction key, sending the transaction key to the opposite end, calculating the estimated balance update completion time and the balance update prediction value of the transaction corresponding to the current message; when the message is a balance update, updating the balance update prediction value and entering the transaction queue update step; when the message is a transaction message, updating the transaction queue as a transaction set #imgabs0# based on the transaction execution status of the previous scheduling interval, selecting multiple transactions from #imgabs1# with a total transaction value not exceeding the current available balance b of the local end t Transaction and store it in the transaction set#imgabs2#According to#imgabs3##imgabs4#b t and the balance update value θ u , calculate the benefits g1 and g2 that can be obtained when the balance is updated next time when the transaction is executed or not executed within the current scheduling interval; when g1 ≥ g2, update the execution transaction set #imgabs5# and execute the transactions in #imgabs6# in sequence. When g1

This invention discloses a method for setting the Bluetooth communication packet transmission and reception time mechanism. This invention is used for transaction scheduling of BR and EDR, and is divided into master mode and slave mode. In master mode, data is transmitted first and then received; in slave mode, data is received first and then transmitted. The master mode operation cycle is sequentially set as follows: transmit data prefetch time, transmit RF start time, transmit data time, transmit RF shutdown time, transmit / receive switching time interval, receive data prefetch time, receive RF start time, receive data time, and receive RF shutdown time. The slave mode operation cycle is sequentially set as follows: receive data prefetch time, receive RF start time, receive data time, receive RF shutdown time, transmit / receive switching time interval, transmit data prefetch time, transmit RF start time, transmit data time, and transmit RF shutdown time. This invention is beneficial for improving the applicability and scope of use of Bluetooth systems and facilitates the porting of Bluetooth systems.

The application discloses a distributed parallel rolling calculation method and system for cost accounting, acquires BOM level expansion data and material period cost data, constructs a rolling calculation task topology graph through path analysis and cost group boundary marking; generates a task fragmentation weight coefficient according to node frequency and cross-period load characteristics, splits the rolling calculation hierarchical range to form a dynamic rolling calculation scheduling domain; processes node matching and rolling calculation transaction division on the dynamic rolling calculation scheduling domain, acquires single-node rolling calculation time delay by using hierarchical cache and cross-period zero change identification reduction mapping path, evaluates node load level to generate multi-level node scheduling configuration; analyzes the time delay of the multi-level node scheduling configuration to determine a priority execution transaction, combines retry frequency sorting to form a rolling calculation transaction scheduling plan, and outputs a distributed cost rolling calculation scheduling instruction by summarizing rolling calculation results, so that the execution efficiency and resource utilization balance of distributed cost rolling calculation under a multi-level BOM structure are effectively improved.

The invention relates to a cross-regional power transaction scheduling method, device and equipment based on an epsilon-constraint method and an adaptive step length. The method comprises the steps of obtaining power data of each regional power system in each scene meeting a step length constraint condition, and establishing a cross-regional power transaction scheduling model formed by an economic objective function and an environmental objective function according to the power data; respectively solving the economic objective function and the environmental objective function by adopting k different epsilon values of an epsilon-constraint method to obtain k first Pareto optimal solutions and k second Pareto optimal solutions; according to all the first Pareto optimal solutions and the second Pareto optimal solutions, a fuzzy membership function and an extreme value standardization method are adopted for processing to obtain an optimal compromise solution of all regional power transaction scheduling in each scene, and cross-regional power transaction scheduling of a power system is facilitated; and an epsilon-constraint method is adopted to solve the cross-regional power transaction scheduling model, and an optimal compromise solution is selected from a plurality of Pareto optimal solutions, so that the operation efficiency and reliability of a power system are improved.

The invention relates to the technical field of digital twinning, in particular to a virtual power plant transaction scheduling optimization system based on digital twinning, which comprises a twinning state mapping module, an instruction twinning verification module and a capacity locking distribution module. The twin state mapping module collects distributed resource time sequence data, reconstructs a resource operation efficiency index, and constructs a time sequence bearing graph containing a capacity boundary and an efficiency gradient; the instruction twinning verification module implements time sequence overlay verification of the instruction and the atlas, judges a scheduling conflict time period, shifts an overflow quota time period to a surplus capacity time period, and generates a corrected scheduling task book; and the capacity locking distribution module generates a resource priority sequence based on the response gradient coefficient, locks the node capacity and issues an execution instruction. According to the method, the digital twinborn technology is utilized to perform pre-simulation and time domain optimization of the scheduling plan, the technical problem that external requirements are not matched with physical performance capabilities of the resources is solved, and closed-loop control of resource transaction scheduling is realized.

The invention discloses a multi-dimensional dynamic evaluation method and system oriented to a block chain transaction scheduling algorithm, and belongs to the field of block chain transaction optimizing.The method comprises the steps that block chain transaction data is called to serve as original input data; and processing the original input data through a cross-chain transaction scheduling multi-dimensional optimization model configured at a cloud end to obtain an initial scheduling decision, checking whether the initial scheduling decision conforms to the constraint of the constraint system one by one through an evaluation engine, and taking the initial scheduling decision as a final scheduling decision. According to the invention, comprehensive optimization of cross-chain transactions is realized.

The application provides a read-write separation method and device based on a database double cluster, which comprises the following steps: dispatching a query transaction to a read cluster and inserting the query transaction into an application log; synchronously writing a database system log of a local and another site in the same city when submitting the query transaction, so as to realize the synchronization in the same city; and replicating the update records of the read cluster and the write cluster to each other, so as to ensure the consistency of the data in the read cluster and the write cluster. The application realizes the protection of the table and the data of the read cluster by controlling the user rights; the single number is taken from the read cluster and the double number is taken from the read-write cluster by introducing a serial number generator, so as to prevent the repetition of the key values of the records on both sides; the synchronous writing of the database system log of the double cluster in the same city is realized, so as to ensure that the update data is not lost under the failure of any one of the two clusters; and the logical replication of the database with conditions is realized, so as to ensure the final consistency of the data, run the batch report in the master database, and realize the complete audit and report functions.

The embodiment of the application discloses a kind of scheduling method, device, electronic equipment and storage medium of blockchain transaction, the scheduling method of the blockchain transaction is executed by executing multiple blockchain transactions, the first weight of target transaction and the second weight of first reference transaction are determined when the target transaction executed is as target transaction, target transaction and first reference transaction conflict with each other are scheduled, since first weight and second weight are determined based on resource consumption parameter, therefore, according to the size relationship between first weight and second weight, target transaction is scheduled, equivalent to according to resource consumption parameter, target transaction is scheduled, so that when target transaction is scheduled, it can be implemented to retain the blockchain transaction with more resource consumption, and re-execute the blockchain transaction with less resource consumption, avoid causing resource waste, improve the performance of blockchain network, can be widely applied in cloud computing, blockchain and other technical fields.

This application provides a quantum algorithm-based method for large-scale transaction scheduling, an electronic device, a chip, a storage medium, and a program product. The method includes: responding to a received SQL request by performing lexical, syntactic, and semantic analysis to decompose it into multiple independent transactions; pre-evaluating each independent transaction to obtain key attribute information; comparing the locked data item sets between transactions pairwise to identify and mark transaction pairs with conflicting data items, forming a set of conflicting transactions; constructing an Oracle function to determine the legality of the transaction scheduling scheme; generating a corresponding QASM program by combining the Grover diffusion operator; sending the QASM program to a quantum computer, executing multiple Grover iterations to amplify the quantum state amplitude corresponding to the legal scheduling scheme, and obtaining the scheduling scheme encoding; parsing the scheduling scheme encoding to obtain the allocation relationship between transactions and concurrent tasks, and sending the allocation relationship as a scheduling strategy to the database storage engine.

Transaction scheduling is described for a user data cache by assessing update criteria. In one example an event records memory stores a list of events each corresponding to performance of a transaction at a remote resource for a user. The memory has criteria for each event and a criterion value for each criterion and event combination. An event manager assesses criteria for each event by performing an operation on the stored criterion value for each criterion and event combination, assigning a score for each criterion and event combination, and compiling the assigned scores to generate a composite score for each event. The events are ordered based on the respective composite scores and executed in the ordered sequence by performing a corresponding transaction at remote resource. Updated criterion values are stored for executed events.

The invention provides a software and hardware combined simulation system and method, the simulation system comprises a software simulation domain and a hardware simulation domain, the software simulation domain comprises a plurality of processor cores and a software bridge, and the hardware simulation domain comprises a hardware bridge and peripheral equipment. The software simulation domain of the system is responsible for transaction scheduling and global time advancing, the advantage of high simulation speed of software simulation is fully utilized, meanwhile, hardware simulation is carried out on peripheral equipment through the hardware simulation domain of the system, real delay feedback and bandwidth characteristics can be provided, and the hardware simulation speed of the peripheral equipment is improved. The advantage of high simulation precision of hardware simulation is fully utilized, so that collaborative design of simulation precision and simulation speed is realized through combination of software and hardware.

The invention relates to the technical field of communication, in particular to an eSPI slave transaction scheduling processing method and system. The eSPI slave transaction scheduling processing method provided by the invention comprises the following steps: receiving a plurality of transaction requests issued by an eSPI host, and analyzing Tag identifiers carried in the transaction requests; according to the Tag identifier, determining a priority level corresponding to the transaction request; based on a preset scheduling strategy, performing arbitration and scheduling processing on the transaction request with the determined priority level; and processing the multiple transactions in sequence according to the scheduling result. According to the method, the scheduling flexibility and the system response efficiency in a multi-transaction scene are improved, and the stability and correctness of communication between the eSPI host and the slave are guaranteed.

Disclosed are a blockchain-based data processing method and apparatus, a device, and a readable storage medium to perform the method: when it is determined through a core engine component that a block output condition is satisfied, packing a preparatory block through the core engine component, and determining a transaction scheduling type; performing execution processing on the preparatory block through the core engine component to obtain a first to-be-uploaded block when the core engine component determines that the transaction scheduling type is a non-deterministic scheduling type; performing non-deterministic scheduling consensus processing on the first to-be-uploaded block through a consensus component; and when the core engine component determines that the transaction scheduling type is a deterministic scheduling type, transmitting the preparatory block in the core engine component to the consensus component, and performing deterministic scheduling consensus processing on the preparatory block through the consensus component and the core engine component.

The invention provides a transaction scheduling scheme determination method and device, equipment, a storage medium and a product. The method comprises the steps of determining a to-be-solved secondary unconstrained binary optimization formula based on a to-be-scheduled transaction set; based on the to-be-solved secondary unconstrained binary optimization formula, executing the following solving operations: obtaining a current test state of the to-be-solved secondary unconstrained binary optimization formula; performing quantum measurement on the current test state to obtain a measurement result of the current test state; determining an energy expected value of the current test state based on the measurement result of the current test state; and comparing a difference value between the energy expected value of the current test state and the energy expected value of the previous test state with a preset threshold value, and determining a transaction scheduling scheme corresponding to the transaction set to be scheduled.

The application relates to a transaction scheduling method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a transaction dependency graph and a free transaction set of a block; selecting a plurality of dependent transactions and a plurality of free transactions according to the transaction dependency graph and the free transaction set; adding the dependent transactions and the free transactions to a transaction table; sending a transaction loading signal to a plurality of transaction execution modules to enable the transaction execution modules to load the transactions and execute the transactions in parallel; when a loading completion signal sent by the transaction execution modules is received, selecting a new transaction from the transaction dependency graph and the free transaction set and adding the new transaction to the transaction table, and updating the transaction dependency graph, the transaction table and a preset scheduling table until all the transactions in the block are executed. The method can improve the transaction execution efficiency. The application also provides a transaction execution method and device, computer equipment and a storage medium. The method can avoid repeated execution of the instruction decoding process and improve the transaction execution efficiency.

The application discloses a kind of high-efficiency scheduling methods of blockchain payment channel network transaction, comprising: defining payment channel network transaction scheduling problem, under the condition that transaction both sides node selects execution transaction scheduling strategy, execution node sets multiple constraint conditions with network throughput maximization as target, and the transaction scheduling optimization problem is modeled for the transaction scheduling problem in the buffer zone of both sides, to obtain transaction scheduling optimization problem;For the problem, the execution node utilizes the encoder model to extract the static features and dynamic features of each transaction in the current input sequence, to obtain the encoder output vector of each transaction, and the encoder output sequence is formed by merging;The execution node utilizes the decoder model based on attention mechanism and mask mechanism to make transaction sequence decision in a self-iterative manner to the current obtained encoder output sequence, and outputs the transaction sequence after continuous iteration to schedule both sides to complete transaction.The application can reasonably schedule the transactions in the buffer zone, improve the throughput and reduce the average waiting time of transactions.