Measuring the Web3.0 Stack
Yiannis Psaras
Yiannis Psaras introduces ProbeLab's systematic measurement program for the Web3 stack, built around the Nebula crawler that snapshots the IPFS DHT roughly every 30 minutes across a probes/storage/processing architecture. The talk reports IPFS DHT churn comparable to early BitTorrent, with around 60% of server peers staying online for 1.5 hours or less and 80% for under three hours, and classifies the network into roughly 14% always-on, 85% dangling, and 0.6% always-off nodes. Infrastructure attribution shows only about 13% of nodes run on known cloud providers (DigitalOcean, AWS, Azure) while the remainder run on home machines or unidentified hosts, and a Hong Kong-based correlation analysis finds no significant day/night uptime pattern. Psaras then breaks down end-to-end content lifecycle latency into DHT walk and put phases for publishing and retrieval, and shows agent-version breakdowns of failed provider record puts (around 36% on go-ipfs, 31% on Hydra boosters) as a starting point for targeted debugging.