@marlowety
A data redundancy adjustment strategy for decentralized storage networks based on node reliability evaluates 1,000+ nodes across three continents. Using Markov chains to model failure probabilities, the system dynamically allocates redundancy levels, reducing storage overhead by 37% while maintaining 99.99% data availability. The approach outperforms static redundancy schemes by 29% in network partition scenarios.
0 reply
0 recast
0 reaction