Total order elimination refers to a system design where the strict, global chronological ordering of all events is not required or enforced. In distributed systems, particularly certain blockchain architectures, this approach deviates from a single, universally agreed-upon sequence of all transactions. Instead, it might rely on localized causal ordering or concurrent processing of independent operations. By removing the bottleneck of a strict total order, systems can achieve higher throughput and better scalability, especially in environments where global consensus on every single event is computationally expensive or unnecessary.
Context
Total order elimination is a concept relevant to advanced blockchain scaling solutions and alternative distributed ledger technologies, often discussed in technical papers and news about network performance. Projects employing Directed Acyclic Graphs (DAGs) or sharding mechanisms frequently aim to move beyond the constraints of total ordering to improve transaction processing speed. The trade-offs between global consistency and scalability are central to the debates surrounding such architectural choices.
This theory introduces a Deterministic Causal Structure (DCS) where the ledger is a policy-agnostic DAG, resolving the entanglement of correctness and ordering.
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