A Distributed Hash Table is a decentralized system that stores data across many participating nodes, allowing for efficient data retrieval by key. It functions like a hash map, but its entries are spread across a peer-to-peer network rather than residing on a single server. This architecture offers high fault tolerance and scalability, as data is replicated and accessible even if some nodes fail. DHTs are fundamental components in many decentralized applications and storage solutions.
Context
News often covers the use of Distributed Hash Tables in decentralized storage networks and content delivery systems within the Web3 space. Their efficiency in managing large datasets without central points of failure is a key advantage discussed. Ongoing research aims to enhance DHT security against malicious nodes and optimize data distribution for faster access and greater censorship resistance.
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