Parallel Consensus Scaling refers to methods that allow a blockchain network to process multiple transactions or execute multiple consensus rounds simultaneously, rather than sequentially. This technique aims to significantly increase the network’s throughput and overall transaction capacity. It enables concurrent processing to enhance performance. This is crucial for mass adoption.
Context
Parallel consensus scaling is a key research area for improving the performance of blockchain systems, addressing limitations in traditional sequential processing. Solutions often involve sharding, parallel execution environments, or advanced Directed Acyclic Graph (DAG) structures. News frequently covers new protocols or architectural designs that achieve higher transaction rates through parallelization.
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