Parallel data proposals refer to a system design where multiple distinct sets of data, such as transaction batches, can be simultaneously suggested for inclusion in a distributed ledger. This approach allows different network participants or shards to process and propose data concurrently. It aims to significantly increase the overall transaction processing capacity of a blockchain network. By reducing sequential bottlenecks, it enhances scalability and efficiency in decentralized systems.
Context
Parallel data proposals are a key area of research and development for sharded blockchains and other layer-1 scaling solutions designed to improve network throughput. Challenges include ensuring proper coordination and conflict resolution among concurrent proposals to maintain data consistency. Ongoing efforts concentrate on developing robust mechanisms for combining and finalizing these parallel proposals efficiently and securely.
A multi-proposer architecture with asynchronous state commitments achieves 5 gigagas throughput by decoupling transaction ordering from state verification.
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