Vitalik Buterin recently described the obstacles to Ethereum’s long-term viability in a piece. He emphasized the necessity of striking a balance between permanency and complexity reduction. Ethereum must manage growing node storage needs as it develops while making sure decentralized apps (dApps) continue to function well. Therefore, a solution is essential to the security and scalability of Ethereum.
Currently, a fully synced Ethereum node requires around 1.1 terabytes of disk space. This number continues to grow each year due to the accumulation of historical data. Furthermore, the majority of this storage consists of outdated information. Thus, Ethereum’s challenge lies in reducing this bloat while maintaining consensus and access to historical transactions.
Buterin suggests using a model similar to that of torrent networks. In this model, nodes would store only a fraction of the entire data set. This approach allows for a significant increase in the number of nodes. For instance, if 100,000 nodes each stored just 10% of the data, each piece of information would replicate 10,000 times. Consequently, the network’s robustness would remain intact.
Ethereum has already started implementing solutions to address these storage issues. EIP-4444 proposes limiting historical block storage to one year. Moreover, the introduction of a peer-to-peer network will further distribute older data. However, significant work remains to develop and integrate these distributed solutions effectively.
Buterin also emphasizes the need for lightweight clients, like Helios, to support Ethereum’s ecosystem. This integration allows users to verify transactions without needing to run full nodes. Consequently, this development is vital for user security and the scalability of Layer 2 solutions.
Read CRYPTONEWSLAND onNoah Citron, a developer associated with Helios, highlighted the project’s goals. Helios aims to optimize interactions across multiple chains. This approach eases the burden on rollup operators, allowing for greater interoperability. Consequently, rollup operators can manage different Layer 2 solutions without complex full-node setups.
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