Solutions for High Scalability
A Technical Deep Dive.
Introduction
The challenge of scalability is one that many in the blockchain realm are striving to address. At LiquidLayer, we're taking thoughtful steps in this direction by harnessing the strengths of the Ethash Proof-of-Work (PoW) algorithm. This documentation provides a glimpse into our technical considerations aimed at enhancing scalability while preserving the benefits of PoW.
LiquidLayer L1 Mainnet: Prioritizing Efficient Block Time
Our L1 Mainnet starts with a 15-second block time, built upon the Ethash PoW framework. We're exploring several potential enhancements to improve this:
Dynamic Block Adjustment: Considering a PID (Proportional-Integral-Derivative) Controller to potentially fine-tune block time based on transaction queues, aiming for smoother transaction processing.
Parallel Transaction Processing: We're looking into Sharded Multi-Threaded Execution to possibly handle multiple transaction threads concurrently, which might aid in reducing block time.
Consensus Mechanism Refinement: Adjustments to Ethash's Byzantine Fault Tolerance mechanisms could promote a more streamlined consensus process, potentially decreasing block latency.
Improved Network Propagation: Through the exploration of Gossip Protocols and Compact Block Relay techniques, we hope to achieve faster and more efficient block propagation across network nodes.
We aspire to transition to a 5-second block time, but it's crucial to highlight that such an optimization will be undertaken carefully to maintain network reliability and security.
Ethash PoW Algorithm and Solutions
Our choice to utilize the Ethash PoW algorithm is deliberate and based on its potential advantages:
Layer 2 and Off-chain Compatibility: Ethash's DAG (Directed Acyclic Graph) structure offers promising interoperability with Layer 2 solutions, potentially easing transactional volume on the main chain.
Mitigating Network Congestion: Our enhancements to the Ethash algorithm aim to offer a blockchain with better throughput and lesser congestion, especially during peak times.
LiquidLayer's approach, while still in its formative stages, represents our commitment to exploring scalable solutions in the blockchain space. Our focus remains on continuous learning and iteration, with the hope of contributing positively to the broader blockchain community.
Last updated