Asynchronous distributed systems are computing architectures where individual components operate without a shared global clock for coordination. Communication among nodes occurs through message passing, without a guaranteed maximum delay for delivery or processing. This design supports high fault tolerance and scalability, allowing system parts to continue functioning even if others experience delays or failures. It contrasts with systems demanding strict timing agreements.
Context
Asynchronous distributed systems form the architectural basis for many blockchain networks, enabling global, decentralized operation without a central authority dictating timing. The inherent delays and unpredictable message ordering within these systems present considerable challenges for achieving consensus, a primary focus in blockchain protocol design. News often discusses novel consensus mechanisms or scaling solutions addressing the complexities of maintaining consistency in such environments.
A Decentralized Clock Network assigns provably fair timestamps to transactions, fundamentally eliminating front-running and MEV-driven order manipulation.
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