Starknet employs zero-knowledge rollups (ZK-Rollups) for transaction aggregation and scalability, ensuring efficiency and security through succinct proof submissions to Ethereum. Core Components: Zero-Knowledge Rollups (ZK-Rollups): Aggregates multiple off-chain transactions into a single proof, which is submitted to Ethereum's mainnet, reducing computational load and gas costs. Sequencer and Prover Roles: Sequencers: Order and batch transactions for efficient processing. Provers: Generate validity proofs ensuring the correctness of processed batches. Instant Finality: Transactions are final once a proof is verified and accepted on Ethereum, minimizing the risk of chain reorganizations and enhancing reliability.
奖励机制与相应费用
Starknet's incentive model combines transaction fees and plans for future staking rewards to support network operations and security. Incentive Mechanisms: Transaction Fees: Users pay fees in Ether (ETH) to compensate sequencers and cover the cost of proof submission and storage on Ethereum. Dynamic Fee Model: Fees adjust based on transaction complexity and resource requirements, ensuring fair cost distribution and efficient network usage. Future Staking Rewards: Planned staking mechanisms will incentivize participants to lock their STARK tokens, enhancing network security and governance.
信息披露时间段的开始日期
2024-04-08
信息披露时间段的结束日期
2025-04-08
能源报告
能源消耗
118260.00000 (kWh/a)
能源消耗来源与评估体系
For the calculation of energy consumptions, the so called “bottom-up” approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. Due to the structure of this network, it is not only the mainnet that is responsible for energy consumption. In order to calculate the structure adequately, a proportion of the energy consumption of the connected network, ethereum, must also be taken into account, because the connected network is also responsible for security. This proportion is determined on the basis of gas consumption. 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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