Aptos utilizes a Proof-of-Stake approach combined with a BFT consensus protocol to ensure high throughput, low latency, and secure transaction processing. Core Components: Parallel Execution: Transactions are processed concurrently using Block-STM, a parallel execution engine, enabling high performance and scalability. Leader-Based BFT: A leader is selected among validators to propose blocks, while others validate and finalize transactions. Dynamic Validator Rotation: Validators are rotated regularly, enhancing decentralization and preventing collusion. Instant Finality: Transactions achieve finality once validated, ensuring that they are irreversible.
奖励机制与相应费用
Incentive Mechanism: Validator Rewards: Validators earn rewards in APT tokens for validating transactions and producing blocks. Rewards are distributed proportionally based on the stake of validators and their delegators. Delegator Participation: APT token holders can delegate their tokens to validators, earning a share of the staking rewards without running their own nodes. Slashing Mechanism: Validators face penalties, such as losing staked tokens, for malicious actions or prolonged inactivity, ensuring accountability and network security. Applicable Fees: Transaction Fees: Users pay transaction fees in APT tokens for sending transactions and interacting with smart contracts. Dynamic Fee Adjustment: Fees are dynamically adjusted based on network activity and resource usage, ensuring cost efficiency and preventing congestion. Fee Distribution: Transaction fees are distributed among validators and delegators, providing an additional incentive for network participation.
信息披露时间段的开始日期
2024-06-14
信息披露时间段的结束日期
2025-06-14
能源报告
能源消耗
262800.00000 (kWh/a)
能源消耗来源与评估体系
The energy consumption of this asset is aggregated across multiple components:
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. 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.
To determine the energy consumption of a token, the energy consumption of the network(s) aptos_coin is calculated first. For the energy consumption of the token, a fraction of the energy consumption of the network is attributed to the token, which is determined based on the activity of the crypto-asset within the network. When calculating the energy consumption, the Functionally Fungible Group Digital Token Identifier (FFG DTI) is used - if available - to determine all implementations of the asset in scope. The mappings are updated regularly, based on data of the Digital Token Identifier Foundation.
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