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  • Preface
    • Motivation
    • Roadmap’s
  • Introduction to Blockchain
    • A Brief History
    • Growth of Blockchain
    • Structure of Blockchain
    • Types of Blockchain
    • Key Technologies of Blockchain
    • Features of Blockchain
    • How Blockchain Works ?
    • Implementation of Blockchain
    • Summary
  • Components of Blockchain Architecture
    • Distributed Ledger
    • Blocks
    • Transaction
    • Chain
    • Peer-to-Peer Network
    • Blockchain Layers
    • Off-Chain & On-Chain
    • Wallet
    • Mining
    • Tokens
    • Assets
    • State Channels
    • Sidechains
    • Oracles on Blockchain
    • Atomic Swaps
    • Decentralized Identity (DID)
    • Blockchain Data Storage
    • Interoperability
    • Data structures for Scaling Blockchain
    • Maximal Extractable Value (MEV)
  • Consensus Mechanisms
    • Proof of Work (PoW)
      • Implemation Using Rust
    • Proof of Stake (PoS)
    • Proof of Burn (PoB)
    • Proof of Capacity (PoC)
    • Proof of Activity (PoAc)
    • Proof of Weight (PoWe)
    • Proof of Luck (PoL)
    • Proof of Ownership (PoO)
    • Proof of Existence (PoE)
    • Proof of Believability (PoBe)
    • Proof of History (PoH)
    • Proof of Authority (PoA)
    • Proof of Elapsed Time (PoET)
  • Cryptographics
    • Encryption & Decryption
      • Symmetric Encryption
      • Asymmetric Encryption
      • Key Management and Exchange
      • Implementation
    • Cryptographic Hashing
      • Secure Hash Algorithms (SHA)
      • Message Digest Algorithms
      • Ethash
      • Blake2
      • SCrypt
      • RIPEMD-160
    • Digital Signature
      • Digital Signature Algorithms
      • Digital Signature in Blockchain
    • Zero-Knowledge Proofs (ZKPs)
      • Types of Zero-Knowledge Proof and Protocols
      • A Case Study of Polygon Platform
    • Multi-Party Computation (MPC)
    • Cryptanalysis
    • Practical Implementation
  • Decentralized Application (DApp)
    • Design and UX in Web3
  • Smart Contract
    • Development Tools
    • Solidity
    • Testing Smart Contract
    • Developing Smart Contract
    • Interacting & Deploying with Smart Contract
    • Verifying Smart Contracts
    • Upgrading Smart Contracts
    • Securing Smart Contract
    • Smart Contract Composability
    • Testnet and Mainnet
    • Blockchain Platform Using Smart Contract
    • Application of Smart Contract
    • Practical Implementation
  • Blockchain Platforms
    • Ethereum
      • Ethereum Virtual Machine (EVM)
      • ETHER and GAS
      • Ethereum transaction
      • Ethereum Accounts
      • Ethereum Stacking
      • Ethereum Network
      • Ethereum Scaling Solutions
      • Ethereum Use-Cases
      • Getting Started with Ethereum
      • Ethereum Ecosystem and Support
    • Solana
      • Solana Architecture
        • Solana Account Model
        • Solana Wallet
        • Transactions and Instructions
        • Solana Programs
        • Program Derived Address (PDA)
        • Cross Program Invocation (CPI)
        • Tokens on Solana
        • Clusters and Public RPC Endpoints
        • Transaction Confirmation & Expiration
        • Retrying Transactions
        • Versioned Transactions
        • Address Lookup Tables
        • State Compression
        • Actions and Blinks
      • Solana Developments
      • Solana Client
      • Advanced Solana
      • Solana Scaling and Performance Architecture
      • Solana Solutions and cases
      • Practical Implemenation
    • Binance Smart Chain (BSC)
      • Create a BEP20 Token
    • Hyperledger Fabric
    • Cosmos
    • Polkadot
    • Quorum
    • Polygon
    • Algorand
    • Corda
    • Avalanche
    • TRON
    • Summary
  • Decentralized Finance (DeFi)
    • DeFi Components
    • DeFi Protocols
    • DeFi Platforms
    • DeFi Risk Classification
      • Infrastructure-layer Attacks
      • Smart Contract Layer-attacks
      • Application Layer-attacks
      • DeFi Risks
    • DeFi and Blockchain
    • DeFi Impact
  • Decentralized Ecosystem and Digital Innovation
    • Layer 2 Scaling Fundamental
    • Tokenomics
    • Cryptocurrency
    • Quantative Trading
    • NFTs
    • GameFi
    • Metaverse
  • Blockchain as a Service (BaaS)
    • Building Fullstack Blockchain Platform
    • Decentralized Digital Identity
    • Build a Cryptocurrencies Exchange
    • Play-to-Earn Gaming
    • Solana Token Airdrop Manager
    • Smart Contract Development on Solana with Rust
    • Quantitative Trading Platform
    • Insurances protocols
    • Flash Loans
    • Asset Management
    • Tokenized Derivatives
    • Automated Market Makers (AMMs)
    • Staking
    • Lending and Borrowing Platforms
    • Yield Farming
    • Stablecoin System
    • Security Token Offerings (STOs)
    • Initial Coin Offerings (ICOs)
    • On-Chain Voting Systems
    • Decentralized Autonomous Organizations (DAOs)
    • NFT Marketplaces
    • Provenance Verification
    • Supply Chain Tracking
    • Commodities Tokenization
    • Real Estate Tokenization
    • Digital Certificates
    • KYC (Know Your Customer)
  • Blockchain Development Across Languages
    • Blockchain using Go(Golang)
    • Blockchain using Rust
    • Blockchain using Python
    • Blockchain using Cairo
  • Distributed Systems & Infrastructure Technology
    • Classification of Distributed Systems
    • Networked systems versus Distributed systems
    • Parallel systems vs Distributed systems
    • Distributed versus Decentralized systems
    • Processes of Distributed Systems
    • Architecture of Distributed systems
    • Infrastructure Technologies
  • Distributed System Patterns
    • Distributed Agreements Algorithms
      • HoneyBadgerBFT
    • Data Replications
    • Data Partition
    • Consistency
    • Distributed Time
    • Cluster Management
    • Communication between Nodes
    • Fault Tolerance and Resilience
      • How to design better fault tolerance systems
      • Resilience Patterns
    • Coordination systems
      • Clock synchronization
    • Security
      • Trust in distributed systems
      • Design of Principal Security
      • Security threats, policies, and mechanisms
      • Authentication and Authorizations
      • Cryptography
      • Monitoring in Security
  • Distributed System Design
    • Page 1
    • Distributed Shared Memory
    • Distributed Data Management
    • Distributed Knowledge Management
    • Distributed Ledger
  • FAQs
  • Support and Community
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On this page
  • Abstract
  • Ethereum Scaling Fundamentals:
  • 1. Layer 1 Scaling
  • 2. Layer 2 Scaling Solutions
  • 3. Other Scaling Methods
  • 4. EIP-1559 and Gas Optimization
  • 5. Hybrid Solutions
  • 6. Modular Blockchains
  • Case Study: Optimistic Rollups with Arbitrum
  • Problem:
  • Solution:
  • Implementation:
  • Results:
  1. Blockchain Platforms
  2. Ethereum

Ethereum Scaling Solutions

Abstract

Ethereum, as one of the most widely used blockchain platforms, has faced significant challenges related to scalability due to its growing user base and the increasing complexity of decentralized applications (dApps). Scalability refers to the network’s ability to handle a growing number of transactions efficiently without sacrificing security or decentralization. Ethereum’s current scaling issues stem from limited throughput, high transaction fees, and network congestion, which restrict the platform’s ability to handle large volumes of transactions. To address these concerns, various scaling solutions are being developed both on-chain and off-chain. These include Layer 1 upgrades like sharding and Layer 2 solutions such as rollups, state channels, and sidechains, all aimed at improving transaction speed, reducing costs, and maintaining decentralization.

Ethereum Scaling Fundamentals:

Ethereum’s scaling journey involves addressing the blockchain trilemma—the challenge of balancing decentralization, security, and scalability. Below are the key scaling mechanisms currently in development or in use for Ethereum:

1. Layer 1 Scaling

Layer 1 refers to scaling solutions implemented directly on the base Ethereum blockchain.

a. Sharding

  • Sharding is a key upcoming upgrade that will divide the Ethereum network into smaller sub-networks called shards.

  • Each shard will handle a portion of the network’s transactions and computations in parallel, significantly increasing the overall throughput.

  • By enabling multiple shards to process transactions simultaneously, Ethereum will avoid bottlenecks created by having every node validate every transaction.

  • Sharding is part of Ethereum’s long-term scaling vision and is expected to launch after the Ethereum 2.0 upgrade.

b. Ethereum 2.0 (Eth2) Upgrades

  • Ethereum’s shift to Proof of Stake (PoS) with the Merge reduces energy consumption, but further upgrades (like sharding) are necessary to scale the network’s capacity.

  • Eth2 focuses on improving throughput and finality while maintaining decentralization and security.

2. Layer 2 Scaling Solutions

Layer 2 solutions focus on offloading transaction processing from the main Ethereum chain, reducing congestion and lowering transaction costs. These solutions rely on the security of the Layer 1 Ethereum network.

A. Rollups

  • Rollups are Layer 2 solutions that execute transactions off-chain but post transaction data to Ethereum’s main chain for security.

  • They bundle multiple transactions into a single batch and submit them to Ethereum, significantly reducing gas costs per transaction.

  • There are two types of rollups:

    1. Optimistic Rollups: Assume transactions are valid by default and only check for fraud through challenges, making them faster but requiring some time for final settlement.

    2. ZK-Rollups: Use zero-knowledge proofs to instantly verify the correctness of off-chain transactions, offering faster finality but requiring more complex computation.

    Optimistic Rollups:

    • Optimistic Rollups execute transactions off-chain and post only the transaction data to Ethereum’s main chain.

    • They are called “optimistic” because they assume transactions are valid by default. If someone detects fraud, they can submit a fraud proof to challenge the transaction.

    • These rollups are less resource-intensive than other methods, but they introduce a delay for final settlement due to the fraud detection window.

    • Popular Optimistic Rollup projects include Arbitrum and Optimism.

    Zero-Knowledge Rollups (ZK-Rollups):

    • ZK-Rollups use zero-knowledge proofs to verify the correctness of a batch of transactions off-chain and submit cryptographic proof to Ethereum’s main chain.

    • Unlike Optimistic Rollups, ZK-Rollups don’t require a challenge period, as the validity proof ensures correctness, allowing for faster finality.

    • However, ZK-Rollups require more complex computations, making them better suited for simple, high-throughput applications.

    • Examples of ZK-Rollup projects include zkSync and StarkNet.

b. State Channels

  • State Channels enable participants to conduct multiple off-chain transactions and only settle the final state on the Ethereum main chain, drastically reducing the number of on-chain interactions.

  • This solution is ideal for use cases that require high-frequency microtransactions, such as gaming or micropayment systems.

  • State channels require participants to lock up funds in a multisignature contract, and only the final state is recorded on-chain when the channel is closed.

  • Examples include Raiden Network and Celer Network.

d. Sidechains

  • Sidechains are independent blockchains that are compatible with Ethereum and designed to run parallel to the main Ethereum chain.

  • They allow assets and tokens to move between the sidechain and the Ethereum mainnet via bridges.

  • Assets and data can move between Ethereum and the sidechain via bridges, but the sidechain has its own validators, so security depends on the sidechain’s structure.

  • Sidechains like Polygon and xDai help alleviate congestion by offloading transactions, but they have their own set of validators, meaning their security model is separate from Ethereum.

5. Plasma Chains

  • Plasma is a Layer 2 scaling solution that creates child chains which run independently from the Ethereum main chain, handling the majority of computations off-chain.

  • Plasma chains submit a minimal amount of transaction data back to the main chain periodically, which allows for higher throughput.

  • Plasma is effective for use cases requiring fewer on-chain interactions but has limitations in supporting complex smart contracts.

  • The OMG Network is a well-known Plasma project.

6. Validium

  • Validium is similar to ZK-Rollups in that it uses zero-knowledge proofs to validate transactions, but it differs in that it keeps data off-chain, while ZK-Rollups post data to Ethereum’s Layer 1.

  • By storing data off-chain, Validium achieves much higher scalability compared to ZK-Rollups, but at the cost of some decentralization and security.

  • Validium is often used in applications requiring high throughput, such as gaming or NFT platforms, where keeping data off-chain is acceptable.

  • StarkWare implements Validium alongside ZK-Rollups in its products.

3. Other Scaling Methods

a. Off-Chain Computation

  • Off-chain computation involves performing computations off-chain while only the results or proofs of computations are submitted to the main Ethereum network.

  • This approach reduces the burden on the Ethereum blockchain while maintaining trustless verification of results.

b. Validator Pools

  • Validator Pools or Staking Pools aggregate smaller stakers who cannot individually meet the 32 ETH minimum required to become validators in the PoS system.

  • These pools increase decentralization while allowing more validators to participate in transaction validation, helping Ethereum scale in a more decentralized way.

4. EIP-1559 and Gas Optimization

  • EIP-1559 introduced a new fee mechanism that burns a portion of transaction fees, improving fee predictability and reducing congestion.

  • The implementation of base fee adjustments helps dynamically scale the network's capacity based on demand, preventing gas price spikes during high traffic periods.

  • Gas optimization efforts, such as reducing the complexity of certain operations, are another method Ethereum uses to reduce overall transaction costs and congestion.

5. Hybrid Solutions

  • Some scaling solutions combine multiple approaches to achieve better scalability. For example, Polygon utilizes both sidechains and rollups to provide an optimized scaling solution.

  • Volitions are a hybrid of Optimistic Rollups and ZK-Rollups, allowing users to switch between the two modes depending on their application’s requirements for scalability or security.

6. Modular Blockchains

  • Ethereum’s shift towards a more modular architecture aims to separate the consensus, data availability, and execution layers.

  • By modularizing these aspects, Ethereum can achieve higher throughput, as each layer can scale independently.

Conclusion:

Scaling Ethereum is critical for its long-term success as a platform for decentralized applications. While on-chain improvements like sharding will increase Ethereum’s capacity, Layer 2 solutions such as rollups, state channels, and sidechains are essential to alleviate immediate network congestion and reduce transaction costs. These scaling mechanisms together aim to provide Ethereum with the throughput necessary to support a global decentralized network while maintaining the core principles of security and decentralization. As Ethereum continues to evolve with Layer 1 and Layer 2 upgrades, its scalability will improve, enabling broader adoption of decentralized applications and services.

Case Study: Optimistic Rollups with Arbitrum

Overview: Optimistic Rollups have gained significant traction as a leading Ethereum Layer 2 scaling solution. One of the most prominent implementations of this technology is Arbitrum, developed by Offchain Labs. Arbitrum enhances Ethereum's scalability by processing transactions off-chain while leveraging Ethereum’s security.


Problem:

Ethereum’s increasing adoption has led to congestion, resulting in:

  • High gas fees: Due to the limited number of transactions Ethereum can process (around 15 transactions per second), high demand leads to excessive transaction costs.

  • Low throughput: With more decentralized applications (dApps) and users, Ethereum's scalability is constrained.

  • Network congestion: Popular dApps like decentralized finance (DeFi) platforms and NFT marketplaces often experience significant delays due to network traffic.

Solution:

Arbitrum solves Ethereum's scaling issues using Optimistic Rollups, where most computation is done off-chain, and only transaction data is posted on Ethereum.

How Arbitrum Works:

  1. Off-chain execution:

    • Transactions are processed off-chain in batches, reducing the load on Ethereum’s main chain.

    • The optimistic approach assumes all transactions are valid unless challenged.

  2. Fraud Proof Mechanism:

    • If someone suspects a fraudulent transaction, they can submit a fraud proof within a predefined window (usually one week).

    • If the challenge is successful, the system reverts the fraudulent transaction, and the challenger is rewarded.

  3. Cheaper Transactions:

    • By bundling transactions and posting data on Ethereum in bulk, Arbitrum drastically reduces gas costs, making dApps more accessible to users.

    • The rollup solution achieves a significant reduction in gas fees compared to mainnet transactions, which are extremely costly, especially during times of high network usage.

  4. Ethereum-level Security:

    • Although the execution happens off-chain, Arbitrum inherits the security of Ethereum’s Layer 1, ensuring that rollup data is always verifiable on the main Ethereum chain.

Implementation:

Arbitrum was launched on Ethereum in September 2021 and has since been integrated with multiple dApps and decentralized finance (DeFi) protocols, such as Uniswap, Aave, and SushiSwap.

  1. DeFi Integration:

    • Uniswap, one of the largest decentralized exchanges (DEX) on Ethereum, moved part of its operations to Arbitrum to lower gas fees for users trading tokens.

    • On Ethereum mainnet, swapping tokens during periods of congestion could cost between $50 to $200 in gas fees, while the same operation on Arbitrum could be completed for a fraction of that cost, often between $1 to $5.

  2. dApp Growth:

    • Many DeFi applications began integrating Arbitrum to improve user experience by reducing costs and increasing transaction speeds.

    • For example, Aave, a decentralized lending protocol, saw increased borrowing and lending volumes on Arbitrum due to its cost-effectiveness and scalability.

Results:

Scalability: Arbitrum significantly increased Ethereum’s throughput by enabling more transactions to be processed off-chain. It is capable of handling up to 40,000 transactions per second, which is a massive improvement over Ethereum’s base layer.

Gas Fee Reduction: Users and developers saw a reduction in transaction fees, with savings of 70-95% compared to using Ethereum directly. For example, simple transactions like sending ETH or interacting with smart contracts are now more affordable for everyday users.

Adoption: Since its launch, Arbitrum has grown rapidly, amassing over $2 billion in total value locked (TVL) across various DeFi protocols. Major platforms like Uniswap, Curve, and Aave have deployed on Arbitrum, driving its adoption.

Security: Arbitrum’s security model relies on Ethereum’s main chain, so users and developers can trust that even though transactions are processed off-chain, the system is as secure as Ethereum itself. The fraud-proof mechanism has been effective in ensuring the validity of transactions, with no significant security breaches reported.

Challenges:

  1. Withdrawal Delay:

    • One drawback of Optimistic Rollups like Arbitrum is the seven-day withdrawal period. To ensure security, funds cannot be immediately withdrawn from the rollup back to Ethereum, as the system waits for potential fraud proofs.

    • Solutions like liquidity providers have been introduced to allow users to bypass this wait by paying a fee.

  2. User Education:

    • New users may be unfamiliar with the concept of Layer 2 and how to bridge assets from Ethereum to Arbitrum. Wallets and platforms need to provide clearer user interfaces and educational material to improve onboarding.

Conclusion:

Arbitrum represents a critical step forward for Ethereum scalability, providing cost-effective and high-speed transactions while maintaining Ethereum’s security. As Ethereum continues to evolve with Layer 2 solutions like Arbitrum, its ability to support a growing number of dApps, DeFi projects, and users will expand, driving broader adoption and reducing the burden on the main Ethereum network.

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Last updated 8 months ago