Rollup data costs refer to the expenses associated with storing transaction data on the main blockchain for layer-2 rollup solutions. These layer-2 networks bundle multiple transactions off-chain and then submit a compressed summary to the main chain. Minimizing these data costs is crucial for achieving scalability and reducing transaction fees on rollup platforms. Efficient data handling is essential for economic viability.
Context
The current discussion around rollup data costs often involves strategies for further optimization, such as data availability sampling and EIP-4844 (proto-danksharding) on Ethereum. Debates persist on balancing data compression efficiency with the security requirements of posting transaction proofs to the base layer. A critical future development includes the full implementation of danksharding, which aims to significantly reduce these costs and enhance rollup throughput.
PeerDAS implementation fundamentally scales Ethereum's data availability, creating a massive, permanent cost reduction for the entire Layer Two ecosystem.
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