FLOW 价格

OKcoin Europe LTD

54930069NLWEIGLHXU42

Flow

Flow is present on the following networks: ethereum, flow. The Ethereum network uses a Proof-of-Stake Consensus Mechanism to validate new transactions on the blockchain. Core Components 1. Validators: Validators are responsible for proposing and validating new blocks. To become a validator, a user must deposit (stake) 32 ETH into a smart contract. This stake acts as collateral and can be slashed if the validator behaves dishonestly. 2. Beacon Chain: The Beacon Chain is the backbone of Ethereum 2.0. It coordinates the network of validators and manages the consensus protocol. It is responsible for creating new blocks, organizing validators into committees, and implementing the finality of blocks. Consensus Process 1. Block Proposal: Validators are chosen randomly to propose new blocks. This selection is based on a weighted random function (WRF), where the weight is determined by the amount of ETH staked. 2. Attestation: Validators not proposing a block participate in attestation. They attest to the validity of the proposed block by voting for it. Attestations are then aggregated to form a single proof of the block’s validity. 3. Committees: Validators are organized into committees to streamline the validation process. Each committee is responsible for validating blocks within a specific shard or the Beacon Chain itself. This ensures decentralization and security, as a smaller group of validators can quickly reach consensus. 4. Finality: Ethereum 2.0 uses a mechanism called Casper FFG (Friendly Finality Gadget) to achieve finality. Finality means that a block and its transactions are considered irreversible and confirmed. Validators vote on the finality of blocks, and once a supermajority is reached, the block is finalized. 5. Incentives and Penalties: Validators earn rewards for participating in the network, including proposing blocks and attesting to their validity. Conversely, validators can be penalized (slashed) for malicious behavior, such as double-signing or being offline for extended periods. This ensures honest participation and network security. Flow employs a Proof of Stake (PoS) model with a multi-role node architecture and the HotStuff Byzantine Fault Tolerant (BFT) protocol to achieve high throughput, scalability, and fast finality. Core Components of Flow’s Consensus: 1. Proof of Stake with Multi-Role Architecture: Specialized Node Roles: Flow’s PoS model features a multi-node architecture where node roles are divided among different types of specialized nodes, each responsible for specific tasks. This separation enhances scalability by allowing nodes to focus on particular operations, leading to efficient transaction processing and high throughput. 2. HotStuff Consensus Algorithm: Optimized for High Throughput and Fast Finality: Flow utilizes an optimized version of the HotStuff consensus protocol, which is designed to support high-speed, low-latency transactions essential for Flow’s performance-oriented blockchain. BFT Compliance: HotStuff is a BFT protocol, allowing it to tolerate up to one-third of nodes acting maliciously without compromising the network’s security. This resilience ensures the network remains secure and functional, even with potential faults or dishonest nodes. 3. Leader-Based Block Proposal: Leader and Replica Nodes: HotStuff operates with a leader-based approach where a designated leader node proposes new blocks, and other nodes (replicas) validate these blocks. This method simplifies the consensus process, reducing complexity and improving efficiency. Leader Rotation Mechanism: To prevent centralization and enhance fault tolerance, HotStuff incorporates a leader rotation system, replacing the leader if it becomes unresponsive or acts maliciously. This rotation ensures continuous network reliability and minimizes downtime.

Flow is present on the following networks: ethereum, flow. Ethereum, particularly after transitioning to Ethereum 2.0 (Eth2), employs a Proof-of-Stake (PoS) consensus mechanism to secure its network. The incentives for validators and the fee structures play crucial roles in maintaining the security and efficiency of the blockchain. Incentive Mechanisms 1. Staking Rewards: Validator Rewards: Validators are essential to the PoS mechanism. They are responsible for proposing and validating new blocks. To participate, they must stake a minimum of 32 ETH. In return, they earn rewards for their contributions, which are paid out in ETH. These rewards are a combination of newly minted ETH and transaction fees from the blocks they validate. Reward Rate: The reward rate for validators is dynamic and depends on the total amount of ETH staked in the network. The more ETH staked, the lower the individual reward rate, and vice versa. This is designed to balance the network's security and the incentive to participate. 2. Transaction Fees: Base Fee: After the implementation of Ethereum Improvement Proposal (EIP) 1559, the transaction fee model changed to include a base fee that is burned (i.e., removed from circulation). This base fee adjusts dynamically based on network demand, aiming to stabilize transaction fees and reduce volatility. Priority Fee (Tip): Users can also include a priority fee (tip) to incentivize validators to include their transactions more quickly. This fee goes directly to the validators, providing them with an additional incentive to process transactions efficiently. 3. Penalties for Malicious Behavior: Slashing: Validators face penalties (slashing) if they engage in malicious behavior, such as double-signing or validating incorrect information. Slashing results in the loss of a portion of their staked ETH, discouraging bad actors and ensuring that validators act in the network's best interest. Inactivity Penalties: Validators also face penalties for prolonged inactivity. This ensures that validators remain active and engaged in maintaining the network's security and operation. Fees Applicable on the Ethereum Blockchain 1. Gas Fees: Calculation: Gas fees are calculated based on the computational complexity of transactions and smart contract executions. Each operation on the Ethereum Virtual Machine (EVM) has an associated gas cost. Dynamic Adjustment: The base fee introduced by EIP-1559 dynamically adjusts according to network congestion. When demand for block space is high, the base fee increases, and when demand is low, it decreases. 2. Smart Contract Fees: Deployment and Interaction: Deploying a smart contract on Ethereum involves paying gas fees proportional to the contract's complexity and size. Interacting with deployed smart contracts (e.g., executing functions, transferring tokens) also incurs gas fees. Optimizations: Developers are incentivized to optimize their smart contracts to minimize gas usage, making transactions more cost-effective for users. 3. Asset Transfer Fees: Token Transfers: Transferring ERC-20 or other token standards involves gas fees. These fees vary based on the token's contract implementation and the current network demand. Flow’s incentive model rewards validator nodes, supports ecosystem growth, and maintains affordable fees for developers and users. Incentive Mechanisms: 1. Staking Rewards for Specialized Nodes: Role-Based Rewards: Validators earn Flow tokens according to their specific roles and contributions within the multi-node architecture, aligning rewards with each node’s responsibilities to encourage balanced and effective network participation. 2. Transaction Fees: Stable and Consumer-Friendly Fees: Flow’s fee structure is designed for predictability, keeping transaction costs stable for both developers and users. Fees are based on transaction complexity and provide an ongoing income stream for validators. 3. Misbehavior Penalties: Penalties for Downtime or Malicious Behavior: To maintain network stability, Flow imposes penalties on validators for misbehavior or downtime. This incentivizes high-quality validator participation and ensures consistent performance. 4. Ecosystem and Developer Support: Dedicated Portion of Fees and Rewards: A portion of Flow’s transaction fees and rewards is allocated to developer initiatives, ecosystem growth, and community engagement. This investment fosters innovation, supports long-term network health, and aligns incentives for ecosystem development.

2024-03-12

2025-03-12

513611.81509 (kWh/a)

17.405765334 (%)

0.00025 (kWh)

To determine the proportion of renewable energy usage, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from the European Environment Agency (EEA) and thus determined.

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) ethereum 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.

0.00000 (tCO2e/a)

170.93695 (tCO2e/a)

0.00008 (kgCO2e)

To determine the GHG Emissions, the locations of the nodes are to be determined using public information sites, open-source crawlers and crawlers developed in-house. If no information is available on the geographic distribution of the nodes, reference networks are used which are comparable in terms of their incentivization structure and consensus mechanism. This geo-information is merged with public information from the European Environment Agency (EEA) and thus determined.