Enhancing StarkNet's Performance and Scalability: Key Improvement Measures for 2023 and Beyond

[Alanhoo77]

Specific Improvement Measures:

1. Further Increase Network Throughput and Reduce Latency
   Measures: Continue optimizing the Rust-based sequencer and Rust-Cairo VM to further reduce block execution time.
   Objective: Achieve higher transaction processing speeds while maintaining network stability, especially under high network load.
2. Ongoing Efforts to Reduce Transaction Costs
   Measures: Accelerate the implementation of Volition technology to reduce Ethereum L1 data costs, and closely monitor the progress of EIP-4844, preparing for rapid adaptation.
   Objective: Significantly reduce transaction costs, making StarkNet a more attractive platform, especially for developers and users with limited resources.
3. Optimize User Experience and Interface
   Measures: Improve user interfaces, simplify transaction processing workflows, and provide more intuitive tools and comprehensive documentation.
   Objective: Increase user satisfaction and attract more developers and users to StarkNet.
4. Strengthen Contract Migration and Version Compatibility
   Measures: Provide detailed migration guides and tools to help developers smoothly transition from Cairo 0 to Cairo 1.0.
   Objective: Ensure the smooth conduct of the Regenesis event, minimizing impact on existing systems and applications.
5. Continued Focus on Network Scalability and Decentralization
   Measures: Optimize network protocols, increase the decentralization of nodes, and encourage more participants to join network validation.
   Objective: Enhance the network's scalability and resistance to attacks, ensuring long-term network stability and security.
   These suggestions aim to help StarkNet better address the challenges it faces while maintaining its position as a leading blockchain platform. Through continuous improvements in these key areas, StarkNet can not only enhance its own performance but also exert a greater influence in the broader blockchain ecosystem.