Compressed Batches are groups of transactions or data that have been reduced in size for more efficient processing. This technique aggregates multiple individual operations into a single unit, which is then subjected to data compression algorithms or cryptographic proof generation to minimize its data footprint. By reducing the volume of information that needs to be recorded on a main blockchain, compressed batches significantly decrease transaction costs and enhance the network’s overall processing capacity. They are a fundamental component of many layer-2 scaling solutions, enabling a higher throughput for decentralized applications.
Context
The current discussion surrounding Compressed Batches focuses on optimizing their compression ratios and verification mechanisms to maximize scaling benefits while maintaining data integrity. A critical future development involves the continuous refinement of zero-knowledge proof systems and other cryptographic methods used for batch compression, aiming for greater efficiency and security. Their ongoing evolution is essential for addressing blockchain scalability limitations and expanding the practical utility of decentralized networks.
Set Byzantine Consensus introduces a new primitive for L2s, enabling a decentralized 'arranger' service to eliminate sequencer centralization and censorship risk.
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