Is Ethereum public chain congestion true? What is the solution?
Ethereum, as a leading smart contract platform, has boomed its decentralized applications (DApps) and decentralized finance (DeFi) ecosystems, making it one of the largest blockchains with user scale. However, with the continued growth of user numbers and application size, and the continuous increase in transaction fees, the user experience has been significantly affected. Is the Ethereum network congestion problem true? The answer is yes. This article will discuss this in-depth.
Ethereum network congestion: real problems
Ethereum network congestion is an objective reality. As a distributed computing platform based on blockchain technology, it supports smart contracts, tokens and various decentralized applications. However, its inherent network architecture also presents challenges, with the most notable of which is network congestion. Congestion has led to slowing transactions, soaring miner fees (Gas fees) and a decline in user experience.
This congestion is not accidental, especially during peak network activity. Ethereum has limited transaction processing capacity (Gas Limit) per block, and when the transaction volume exceeds this limit, the network processing capacity is very tight. Ethereum's transaction processing volume per second (TPS) is relatively low, usually around 15-30 transactions.
Multiple factors have led to congestion in Ethereum:
- Explosive growth in DeFi applications: The widespread use of the DeFi protocol has led to a surge in transaction volume.
- NFT boom: NFT casting and trading consume a lot of Gas.
- Project launch and airdrop: New project releases or airdrop activities attract a large number of users to participate, further exacerbating the burden on the Internet.
- Gas fee auction mechanism: Ethereum adopts an auction mechanism to determine transaction priority. When the transaction volume is large, users compete to increase the Gas fee to ensure the transaction is processed quickly, resulting in severe fluctuations in fees.
Solutions to deal with Ethereum network congestion
In order to solve the Ethereum network congestion problem, the community is actively exploring a variety of solutions, mainly including:
-
Technical upgrade: The "merger" completed in 2022 will switch the Ethereum consensus mechanism from Proof of Work (PoW) to Proof of Stake (PoS), which improves efficiency and reduces energy consumption, laying the foundation for future expansion. In the future, sharding technology will further improve network throughput.
-
Scaling expansion solution:
Rollup technologies such as Arbitrum, Optimism and zkSync can effectively reduce the burden on the main network by transferring some transactions to the second-layer network for processing. These solutions have been widely used in DeFi and DApp projects. State channel and side chain technologies also provide additional capacity expansion pathways. -
Gas fee mechanism improvement:
EIP-1559 upgrade introduces a basic fee and reminder fee mechanism, reducing the volatility of the Gas fee and controlling Ethereum inflation by destroying the basic fee.
In short, Ethereum network congestion is a real and complex problem, and its roots are network capacity limitations and rapid growth in user demand. Although this will affect the user experience, the Ethereum community is actively working to continuously improve network performance through technological upgrades and scaling solutions. Users can also optimize their trading efficiency and reduce costs by selecting the appropriate trading time, using Layer 2 solutions, and using tools to monitor Gas fees.
The above is the detailed content of Is Ethereum public chain congestion true? What is the solution?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











Using the chrono library in C can allow you to control time and time intervals more accurately. Let's explore the charm of this library. C's chrono library is part of the standard library, which provides a modern way to deal with time and time intervals. For programmers who have suffered from time.h and ctime, chrono is undoubtedly a boon. It not only improves the readability and maintainability of the code, but also provides higher accuracy and flexibility. Let's start with the basics. The chrono library mainly includes the following key components: std::chrono::system_clock: represents the system clock, used to obtain the current time. std::chron

Measuring thread performance in C can use the timing tools, performance analysis tools, and custom timers in the standard library. 1. Use the library to measure execution time. 2. Use gprof for performance analysis. The steps include adding the -pg option during compilation, running the program to generate a gmon.out file, and generating a performance report. 3. Use Valgrind's Callgrind module to perform more detailed analysis. The steps include running the program to generate the callgrind.out file and viewing the results using kcachegrind. 4. Custom timers can flexibly measure the execution time of a specific code segment. These methods help to fully understand thread performance and optimize code.

C performs well in real-time operating system (RTOS) programming, providing efficient execution efficiency and precise time management. 1) C Meet the needs of RTOS through direct operation of hardware resources and efficient memory management. 2) Using object-oriented features, C can design a flexible task scheduling system. 3) C supports efficient interrupt processing, but dynamic memory allocation and exception processing must be avoided to ensure real-time. 4) Template programming and inline functions help in performance optimization. 5) In practical applications, C can be used to implement an efficient logging system.

With the popularization and development of digital currency, more and more people are beginning to pay attention to and use digital currency apps. These applications provide users with a convenient way to manage and trade digital assets. So, what kind of software is a digital currency app? Let us have an in-depth understanding and take stock of the top ten digital currency apps in the world.

C code optimization can be achieved through the following strategies: 1. Manually manage memory for optimization use; 2. Write code that complies with compiler optimization rules; 3. Select appropriate algorithms and data structures; 4. Use inline functions to reduce call overhead; 5. Apply template metaprogramming to optimize at compile time; 6. Avoid unnecessary copying, use moving semantics and reference parameters; 7. Use const correctly to help compiler optimization; 8. Select appropriate data structures, such as std::vector.

MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.