A blockchain generation system included in each of servers forming a blockchain network includes a blockchain condition setting device that sets a blockchain configuration condition statement based on an operator's input to a screen of a user interface. A data detector detects result data stored in a memory of a programmable logic controller according to an operation of a process equipment based on the blockchain configuration condition statement. A blockchain generator generates blockchain data based on the result data detected from the memory of the programmable logic controller and transmits the blockchain data to a plurality of client servers connected via the blockchain network. A storage device stores the blockchain data and store blockchain data received from the client servers.

An example operation includes one or more of solving, by a scheduler node, integer programming problem of maximizing a sum of organizations' endorsing peers that run chaincodes from a plurality of chaincodes within a consortium, making, by the scheduler node, endorsement policies (EPs) for the chaincodes from the plurality of the chaincodes to be satisfiable at any time, applying administrator's constraint of available endorsing peers to the maximized sum of organizations' endorsing peers, and adding resulting endorsing peers to a maintenance list.

Nodes of a database service may receive a read request to perform a read of a record stored by the database service and a transaction request to perform a transaction to the record. First and second indications of time may be associated with the read and transaction, respectively. A potential read anomaly (e.g., fuzzy read, read skew, etc.) may be detected based, at least in part, on a determination that the first indication of time is within a threshold value of the second indication of time. In response to detecting the potential read anomaly, the read may be performed after the transaction specified by the transaction request, regardless of whether the first indication of time is indicative of an earlier point in time than the second indication of time.

In accordance with an embodiment, described herein is a system and method for use of lock-less data structures and processes with a multidimensional database computing environment. Lock-less algorithms or processes can be implemented with specific hardware-level instructions so as to provide atomicity. A memory stores an index cache retaining a plurality of index pages of the multidimensional database. A hash table indexes index pages in the index cache, wherein the hash table is accessible by a plurality of threads in parallel through application of the lock-less process.

A system and method of optimizing cryptographic mining yields includes analyzing, by a cryptocurrency mining selection system, data associated with factors of interest for one or more cryptocurrencies using machine learning algorithms. Data that is determined to be predictive of the future value of newly mined tokens is used to determine which tokens will have the highest and lowest future values. Based on the predicted value of tokens in the future and the current value of those tokens for each cryptocurrency, the system outputs one or more instructions to buy tokens in cryptocurrencies predicted to increase in value, to sell tokens in cryptocurrencies predicted to decrease in value, and to instruct associated cryptocurrency mining hardware to switch to generating new tokens in one or more selected cryptocurrencies to maximize yields.

An example operation may include one or more of receiving transport data of a multi-party transport process, identifying documents and events that are associated with the multi-party transport process based on the received transport data, dynamically determining read and write permissions for the documents and the events of the multi-party transport process based on predefined roles, and storing an identifier of the multi-party transport process and the dynamically determined read and write permissions in a block on a blockchain.

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for blockchain-based service processing. One of the methods includes receiving a service processing request by a first service processing platform from a first user. The first service processing platform is one of a plurality of service processing platforms that access a blockchain network, and service data of the first user is shared between the plurality of service processing platforms over the blockchain network. In response to a determination that the service processing request involves a second service processing platform of the plurality of service processing platforms, it is determined whether the service processing request is permitted to be executed. In response to determining that the service processing request is permitted to be executed, the service processing request is executed over the blockchain network.

Methods, systems, and apparatus for executing a smart contract by a blockchain node of a blockchain. An example method includes receiving bytecode of a smart contract; deploying the smart contract, comprising storing the bytecode of the smart contract on the blockchain; compiling, through Just-In-Time (JIT) compilation, the bytecode of the smart contract into machine code; locally storing the machine code in a memory of the blockchain node; and executing the smart contract deployed on the blockchain, comprising determining whether the machine code corresponding to the bytecode of the smart contract is locally stored in the memory of the blockchain node, and interpreting and executing the bytecode of the smart contract if the machine code corresponding to the bytecode of the smart contract is not locally stored.

A transaction processing method includes: dividing a to-be-processed transaction obtained from a database into at least two subtransactions; dividing each subtransaction into N parts with an association relationship; processing the N parts of each subtransaction based on the association relationship, to obtain a processing result of a lastly executed part of the N parts; determining, upon detecting an abnormal subtransaction based on the processing result, a processing policy matching an abnormality reason of the abnormal subtransaction; and processing the abnormal subtransaction by using the processing policy, to obtain a final processing result of the to-be-processed transaction.

An example operation includes one or more of establishing a communication channel between a computing system associated with a plurality of available power sources and a transport comprising a rechargeable battery that is configured to power the transport, determining a value of charge power for the rechargeable battery, generating a request that identifies the value of charge power in a first field and identifies a power source in a second field from among a plurality of available power sources to source the charge power for the rechargeable battery, and transmitting the request from the transport to a computing system via the established communication channel.