Parallel data dissemination is a technique where information is distributed simultaneously across multiple independent pathways or network nodes. This method significantly accelerates the broadcast of data by leveraging concurrent transmission. It improves the speed and resilience of information propagation within a distributed system. By reducing sequential bottlenecks, it enhances overall network performance.
Context
In blockchain and distributed ledger technology, parallel data dissemination is crucial for optimizing transaction propagation and block relay across large networks. News often highlights its role in enhancing network throughput and reducing latency, particularly for high-frequency trading applications. Continued research in this area aims to further improve the efficiency of decentralized data sharing.
The Angelfish hybrid consensus protocol dynamically integrates leader-based and DAG architectures, resolving the core BFT throughput-latency trade-off.
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