Alipay Labs (Singapore) Pte. Ltd.

Advanced New Technologies Co., Ltd.

Yuan Yuan

Hui Fang

Shengjiao Cao

Weitao Yang

Wenbin Zhang

Danqing Hu

Ke Cheng Liu

Qian Sun

Ke Liu

Disclosed herein are computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for managing transactions on blockchain networks. One of computer-implemented method includes obtaining, by a scheduling device on a blockchain network, transaction data including a plurality of original pending transactions to be executed on the blockchain network among a plurality of accounts, the transaction data being stored on the blockchain network. The scheduling device performs a consolidation analysis of the plurality of original pending transactions to determine a plurality of modified pending transactions among the plurality of accounts, and a number of the plurality of modified pending transactions is less than a number of the plurality of original pending transactions. The scheduling device maintains the plurality of original pending transactions with the plurality of modified pending transactions, without updating the transaction data stored on the blockchain network with the plurality of modified pending transactions.

Managing transactions on blockchain networks

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for managing user authorizations for blockchain-based services. One of the methods includes: at a service platform, receiving, from a computing device associated with a user, an encryption key and data for storage on a blockchain, wherein the data includes public data and private data, and the encryption key encrypts the private data; storing the encryption key and an identifier (ID) of the data in a cache storage dedicated to storing smart contract data for executing a smart contract; and invoking an application programming interface (API) to enable a blockchain node to initiate a consensus algorithm to record the data and the ID of the data on a blockchain.

Managing user authorizations for blockchain-based custom clearance services

Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for managing transactions in blockchain networks. One computer-implemented method includes identifying a first Hash Time Locked Contract (HTLC) transaction in a first blockchain network that is associated with a second HTLC transaction in a second blockchain network different from the first blockchain network, identifying a third HTLC transaction in the second blockchain network that is associated with the second HTLC transaction, identifying a fourth HTLC transaction in the first blockchain network that is associated with the first, second, and third HTLC transactions, the first, second, third, and fourth HTLC transactions being related to a cross-chain transaction across the first and second blockchain networks, and deriving hidden information of the cross-chain transaction from information of the first, second, third, and fourth HTLC transactions based on associations of the first, second, third and fourth HTLC transactions.

Managing transactions in multiple blockchain networks

Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for managing transactions in multiple blockchain networks. One computer-implemented method includes: accessing transaction data stored in the multiple blockchain networks, the transaction data including transactions published in the multiple blockchain networks, each of the multiple blockchain networks being different from each other, identifying, based on the transactions published in the multiple blockchain networks, multiple cross-chain transactions across the multiple blockchain networks, each of the multiple cross-chain transactions being related to a corresponding set of transactions published on at least two of the blockchain networks, the corresponding set of transactions being associated with one another, deriving hidden information of each of the multiple cross-chain transactions based on an association of the corresponding set of transactions, and deriving hidden information between the multiple cross-chain transactions based on the hidden information of each of the multiple cross-chain transactions.

Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for managing transactions in multiple blockchain networks. One computer-implemented method includes identifying a first transaction in a first blockchain network that is a first Hash Time Locked Contract (HTLC) transaction in the first blockchain network, identifying a second transaction in a second blockchain network that is a second HTLC transaction in the second blockchain network different from the first blockchain network, determining that a first transaction commit time of the first HTLC transaction is earlier than a second transaction commit time of the second HTLC transaction and a first secret hash of the first HTLC transaction has a same value as a second secret hash of the second HTLC transaction, and in response, determining that the first HTLC transaction and the second HTLC transaction are associated with each other and related to a cross-chain transaction.

Growing community of inventors

Hangzhou, China

Yuan Yuan