A comprehensive classification of the algorithms powering blockchain consensus

A comprehensive classification of the algorithms powering blockchain consensus
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In short: Researchers who reviewed 185 publications on distributed ledger technologies identified and categorized 130 different consensus algorithms. By analyzing academic journals and industry sources, the study provides a structured architectural classification of the mechanisms that allow blockchains to agree on data without a central authority.

This review is significant because it organizes a vast and fragmented field of technology into a coherent framework. It maps how these algorithms are distributed across various application domains and evaluates their use in the top 10 most prominent blockchain platforms.

The study is a comprehensive review of existing literature rather than a new experimental trial. A primary limitation is that it relies on the quality and scope of the 185 publications selected for analysis.

Why it matters: Understanding the diverse architecture of consensus mechanisms is key to navigating the complex landscape of blockchain technology.

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