Batching techniques involve grouping multiple individual operations or transactions into a single, larger unit for processing. Instead of handling each item separately, the system processes the collective batch, often reducing overhead and increasing overall throughput. This approach can significantly improve efficiency by minimizing redundant computational steps or communication rounds. It is a common optimization strategy in various computing contexts.
Context
Within blockchain technology, batching techniques are frequently employed to scale transaction processing and reduce network congestion. For instance, multiple user transactions can be combined into a single blockchain transaction, lowering individual transaction fees and increasing the number of operations processed per block. This method is particularly relevant for layer-2 scaling solutions and rollup technologies, impacting transaction costs.
New protocols for Asynchronous Verifiable Secret Sharing (AVSS) leverage lightweight primitives to achieve optimal resilience and amortized linear communication, fundamentally accelerating BFT consensus.
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