8 articles tagged with #network-performance. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Zcash has deployed its NU7 testnet upgrade, achieving a 75% reduction in block times that triples overall network speed. This significant performance enhancement addresses scalability concerns and positions the privacy-focused blockchain to compete more effectively with faster layer-1 networks.
Solana's Alpenglow upgrade has progressed to live validator testing, with Anza leading development efforts aimed at achieving faster transaction finality. The upgrade represents a significant technical milestone in Solana's roadmap toward improving network performance and scalability.
Solana has emerged as the most active blockchain by daily transactions among major chains, coinciding with SOL's price bouncing toward the $90 mark on Monday. The network's increased activity and performance metrics are driving bullish sentiment among investors.
Pipe Network has launched SolanaCDN, a free open-source Solana validator client that includes built-in CDN acceleration, delivering 3.8x faster shred propagation through a global network of 35,000+ nodes. This infrastructure improvement is being provided as a public good to enhance the Solana network's performance.
A transaction spam attack targeted the network using EXTCODESIZE opcode calls, causing blocks to take 20-60 seconds to validate due to excessive disk fetches. This resulted in a 2-3x reduction in network performance as validators struggled to process the malicious transactions.
The article examines the technical implications and security considerations of different blockchain block times, comparing networks with varying confirmation speeds like Bitcoin's 10-minute blocks versus faster alternatives with 17-second blocks. It explores how block time affects network security, transaction finality, and overall blockchain performance.
Researchers propose DRL-GS, a deep reinforcement learning algorithm that optimizes network topology design by combining a verifier, graph neural network, and DRL agent. The approach addresses limitations of traditional heuristic methods by efficiently searching large topology spaces while incorporating management constraints.
This academic survey examines mobility management challenges in 5G networks, focusing on handover processes between base stations. The research addresses issues like handover blocking and unnecessary handovers that affect network performance as mobile users increase.
