Linea employs Zero-Knowledge Rollups (zk-Rollups) to ensure scalable, secure, and efficient transaction processing while maintaining full compatibility with the Ethereum ecosystem. Core Components: Zero-Knowledge Rollups (zk-Rollups): Transactions are aggregated off-chain into batches, and a single zero-knowledge proof is submitted to the Ethereum mainnet, reducing on-chain congestion and improving scalability. Type 2 zkEVM: Linea is fully compatible with the Ethereum Virtual Machine (EVM), enabling seamless integration with Ethereum-based smart contracts and dApps. Proof Aggregation: The network employs proof aggregation to finalize multiple batches of transactions into a single zero-knowledge proof, ensuring secure and efficient finalization of Layer 2 activity on the Ethereum mainnet.
奖励机制与相应费用
Linea’s incentive model aligns validator performance and network security with user needs for low-cost, efficient transaction processing. Incentive Mechanisms: Validator Rewards: Validators earn rewards from transaction fees for their role in processing transactions and submitting aggregated proofs to the Ethereum mainnet. Applicable Fees: Transaction Fees: Users pay transaction fees in the network's native token. These fees cover the costs of executing transactions on the Layer 2 network and submitting proofs to the Ethereum mainnet. Cost Efficiency: zk-Rollups significantly reduce transaction fees compared to Ethereum mainnet transactions by batching multiple transactions into a single proof, making Linea an economical solution for scalable dApps.
信息披露时间段的开始日期
2024-03-31
信息披露时间段的结束日期
2025-03-31
能源报告
能源消耗
111.69000 (kWh/a)
能源消耗来源与评估体系
The energy consumption of this asset is aggregated across multiple components:
To determine the energy consumption of a token, the energy consumption of the network(s) linea is calculated first. Based on the crypto asset's gas consumption per network, the share of the total consumption of the respective network that is assigned to this asset is defined. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation.
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