$EOS Check out my latest transactions and see if you can surpass me! #我的EOS交易
EOS is a blockchain-based cryptocurrency and smart contract platform designed to support the development of high-performance decentralized applications (dApps). Here is a detailed analysis of EOS:
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1. Core Background
- **Founder**: Developed by Block.one, led by Daniel Larimer (BM) and Brendan Blumer, with BM also being the founder of BitShares and Steemit.
- **Mainnet Launch**: Launched in June 2018, raising approximately $4 billion through a year-long ICO, becoming one of the largest blockchain financing projects at that time.
- **Goal**: To solve scalability issues faced by platforms like Ethereum, providing high throughput and low latency infrastructure.
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Technical Features
#### **a. Delegated Proof of Stake (DPoS)**
- **Mechanism**: Transactions are verified by electing 21 “supernodes” (Block Producers, BPs), chosen by holders voting.
- **Advantages**: Fast transaction confirmation (average 0.5 seconds), with theoretical throughput of up to 4,000 transactions per second (TPS).
- **Controversy**: Criticized for being “semi-centralized,” as a few nodes may dominate network governance.
Resource Model
- **No Transaction Fees**: Users obtain resources (CPU, NET, RAM) by staking EOS tokens:
- **CPU/NET**: Used for computation and bandwidth, automatically restored over time after staking.
- **RAM**: Required for storing data, needs to be purchased from the market (price fluctuates).
- **Advantages**: Reduces direct costs for users; **Disadvantages**: Complex resource management, RAM price fluctuations can affect developers.
Account and Permission System
- Supports multi-level account permissions (e.g., setting different keys for managing funds, contracts, etc.), suitable for enterprise-level applications.
Governance Issues: Low voting turnout leads to concentration of power among supernodes, with some nodes accused of collusion and manipulation.
- **Resource Allocation**: Early RAM was subject to speculative trading, with prices soaring and plummeting, later improved by dynamically adjusting supply through the Bancor algorithm.