Distributed Data Structure

Definition ∞ A Distributed Data Structure is a collection of data elements spread across multiple networked computers, rather than residing on a single machine. These structures maintain consistency and availability despite the physical separation of their components. Blockchains are a prominent example, where transaction data is replicated across many nodes. This design enhances resilience and censorship resistance.
Context ∞ News regarding blockchain scalability, security, and decentralization often references the properties of Distributed Data Structures. The efficiency and integrity of these structures are fundamental to the operation of digital asset networks. Debates frequently involve trade-offs between consistency, availability, and partition tolerance in different distributed system designs. Future developments aim to optimize these structures for higher transaction throughput and lower latency, without compromising their core decentralized characteristics.