Selective batching groups specific transactions together for processing, based on certain criteria. This optimization technique aggregates a subset of transactions, chosen according to predefined rules such as transaction type, destination, or priority, into a single unit for more efficient processing. Unlike general batching, selective batching applies a filtering mechanism to determine which transactions are grouped, aiming to enhance specific attributes like privacy, cost reduction, or throughput for particular transaction categories. It improves network efficiency by reducing individual transaction overhead.
Context
Selective batching is a relevant strategy in blockchain scalability solutions, particularly layer-two protocols, where it can optimize resource usage and improve transaction latency. Discussions often involve the criteria used for selection and the trade-offs between batching efficiency and potential delays for unbatched transactions. Future applications may extend to more sophisticated privacy-preserving techniques, allowing for conditional grouping based on zero-knowledge proofs.
Selective Batched IBE introduces a public identity aggregation technique to make threshold decryption key issuance costs independent of batch size, fundamentally scaling private transactions.
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