At the Intersection of Data Availability Sampling and Sharded Mempools - Leo BG скачать в хорошем качестве

At the Intersection of Data Availability Sampling and Sharded Mempools - Leo BG

A new design that mixes a sharded mempool with data availability sampling to achieve higher rollup throughput and high scalability for Ethereum. We present the results of our research in the P2P network for efficient blob dissemination and bandwidth reduction. Leo worked with EF researchers on a new design for sharding the blob space, improved the way blobs are disseminated over the network, and designed a robust data sampling strategy that can withstand large-scale byzantine attacks. He will present changes at the P2P layer that are necessary to optimize the way blob data is disseminated. New techniques to reduce redundancies between the execution layer and the consensus layer while ensuring high security. The end game of this research is to demonstrate that it is possible to dramatically increase the blob space, hence the throughput of Ethereum, without decreasing the decentralization level of the network. Follow ETHPrague: https://x.com/EthPrague Join Telegram group: https://t.me/ethprague