23 results about "Transaction scheduling" patented technology

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 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 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 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.

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 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.

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.

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.

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 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.

The invention relates to the technical field of distributed transaction processing, and particularly discloses a distributed transaction preprocessing optimization method and system based on a CTC model, and the method comprises the steps: constructing a transaction participant dependence graph; when participants receive a Check request of a distributed transaction preprocessing task initiated by a main calling party, obtaining a two-dimensional verification result of each participant; on the basis of the transaction participant dependency graph, verifying a preprocessing ready state of an upstream participant in each participant dependency chain to obtain an upstream dependency verification result; performing risk iterative reasoning based on the two-dimensional verification results and the upstream dependency verification results of all participants in the transaction participant dependency graph, and outputting the comprehensive state feedback results of all participants; based on the comprehensive state feedback result, the main calling party is controlled to call the TryConfirm interface of each participant to execute transaction scheduling, and a distributed transaction scheduling processing result is obtained; and the success rate of the distributed transaction processing task is improved.

This invention provides a method for automatic synchronization of multiple databases under an AI platform, belonging to the field of automatic database synchronization technology. This invention initializes the multi-database synchronization topology and deploys a change data capture module to monitor data changes in real time. The captured change records are converted into unified format synchronization messages and input into an intelligent scheduling optimization model for dependency analysis and transaction reordering based on dynamic programming. Data conversion rules are dynamically generated based on mode version differences, and Merkle tree hierarchical structure is used to verify data consistency. After conflict detection and circular dependency handling are performed at the target node, multi-level adaptive compression transmission and data writing are completed. Finally, periodic full reconciliation tasks ensure eventual consistency among the multiple databases, solving the technical problem of low transaction scheduling efficiency leading to synchronization performance bottlenecks during automatic multi-database synchronization.

The invention discloses a distributed energy transaction intelligent scheduling method, system and device based on a prediction algorithm and a medium, and relates to the technical field of distributed energy transaction scheduling, and the method comprises the specific steps: collecting operation data of a distributed energy system, carrying out the preprocessing, carrying out the feature extraction, combining with a feature fusion algorithm, and obtaining a fusion feature sequence; and establishing a multi-step output prediction model to output an output prediction interval, establishing a transaction strategy optimization model to output an optimal transaction strategy, establishing a value-at-risk calculation formula to set a transaction limit, and performing early warning according to a transaction risk index. According to the invention, the output prediction precision is improved through combination of multi-source data fusion and a probability prediction technology, and dynamic balance between income and risk is realized through adaptive transaction strategy optimization. The distributed energy transaction system can autonomously balance economic benefits and operation risks in a complex market environment, and the default probability is controlled through dynamic limit setting and a multi-stage early warning mechanism.

The application discloses a green electricity short-time balance transaction scheduling method and device based on resource capacity equivalence, wherein the method comprises the following steps: based on the related prediction information provided by the power dispatching department, the demand capacity is determined by using the supply-demand deviation of new energy and power users, the pre-dispatching capacity of the virtual power plant is determined, the bidding strategy of the 96-point plan operation curve of the virtual power plant and the multi-section type quantity-price curve is constructed; the virtual power plant economic dispatching model is constructed according to the quantity-price curve declared by the virtual power plant, and the clearing result of the virtual power plant is formed; the virtual power plant is settled according to the clearing price and the winning capacity, and the highest apportioned cost that the green power user is willing to pay for the green energy premium is considered, and the adjustment cost generated in the operation process of the virtual power plant is apportioned. Therefore, the technical problem that the virtual power plant is difficult to formulate a capacity contract delivery target for the operation characteristics of different types of distributed resources and the attributes of user equipment utility in the related art is solved.

The application provides a blockchain simulation experiment method and an experiment system.The blockchain simulation experiment method comprises: being divided into a single-process simulation experiment method, a distributed simulation experiment method and a whole-process simulation experiment method according to the requirements of a user; wherein the single-process simulation experiment method comprises: triggering the simulation to be performed through a control node / block operation interaction module; the distributed simulation experiment method comprises: being cooperatively executed by agents distributed on different devices, and starting and ending the distributed simulation operation by inputting configuration parameters and calling a simulation switch controller through a controller; and the whole-process simulation experiment method comprises: reading all simulation transactions at one time and performing continuous simulation transaction scheduling through an optimized discrete simulation transaction scheduling algorithm.The simulation experiment method can make the objects and results of the simulation more comprehensive.

The invention discloses a deterministic transaction batch processing concurrent execution method based on a long safety chain, which is characterized by comprising the following steps of: performing concurrent execution on a batch of transactions based on a concurrency control and reordering mechanism of a transaction read-write set and deterministic batch processing scheduling by utilizing a concurrency processing characteristic, and dividing the whole transaction process into two stages of execution and submission, the certainty and serializability of a transaction execution result are ensured through reordering, the transaction quantity is submitted through a reordering mechanism in the submitting stage, and the transaction conflict rollback probability is reduced. According to the method, on the basis that nodes concurrently execute transactions, the serialization of transaction results is ensured, and the consistency of other nodes in the network on the transaction results in the same block is ensured. Compared with the prior art, the method has the advantages that the transaction scheduling process is efficiently optimized, the multi-core expandability under the conflict load is realized, the transaction execution efficiency of the multi-core node is greatly improved, meanwhile, the certainty of an execution scheme is ensured, the overall performance and reliability of the system are enhanced, and the method has a good application prospect.

The application discloses a kind of based on block chain's containing multiple microgrid power distribution system monitorable regulation method and system, belong to microgrid power distribution system optimization technical field. Including obtaining the power selling request of power selling microgrid node and the power buying request of power buying microgrid node in power distribution system, wherein the power selling request or the power buying request is based on the operation scheduling model prediction of pre-established;Based on the preset smart contract of block chain, the power selling request and the power buying request are traded and matched, and a transaction scheduling scheme is obtained;The transaction scheduling scheme is sent to the terminal where the power selling microgrid node is located and the terminal where the power buying microgrid node is located respectively, and transaction scheduling is carried out according to the transaction scheduling scheme.Combining block chain architecture and containing multiple microgrid power distribution system can guarantee the security of data and the fairness of regulation process, solve the problem that each microgrid subject does not adapt to traditional centralized regulation, and is difficult to actively respond to scheduling mechanism.

The present application relates to the technical field of blockchain data processing, and more particularly to a transaction concurrent conflict optimization method based on a Fabric consortium chain, which comprises the following steps: a client performs a proposal initiation operation and generates a transaction and sends it to a sorting node; the sorting node receives transactions sent by different clients, divides all received transactions into four sets according to a preprocessing operation; each transaction in the reordering transaction set is taken as a node, and a transaction conflict dependency graph is constructed through read-write dependency relationship; all transactions in the reordering transaction set are reordered according to the transaction conflict dependency graph; all transactions in the to-be-merged transaction set are grouped and modified; a transaction scheduling sequence is generated according to the read-only transaction set, the reordering result and the grouping modification result, and the transaction scheduling sequence is packed to form a block; the present application guarantees data consistency, reduces the transaction failure rate in the block through the methods of caching, reordering and merging, and improves the overall performance and resource utilization of the system.