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Firefly: Scalable, Ultra-Accurate Clock Synchronization for Datacenters

Pooria Namyar, Yuliang Li, Weitao Wang, Nandita Dukkipati, KK Yap, Junzhi Gong, Chen Chen, Peixuan Gao, Devdeep Ray, Gautam Kumar, Yidan Ma, Ramesh Govindan, Amin Vahdat

2025Year
6Citations
1Top-tier citations

Abstract

Cloud-based financial exchanges require sub-10ns device-to-device clock synchronization accuracy while adhering to Coordinated Universal Time (UTC). Existing clock sync techniques struggle to meet this demand at scale and are vulnerable to clock drift, jitter, and path asymmetries. Firefly, a software-driven datacenter clock sync system, scalably, cost-effectively, and reliably achieves very high clock sync accuracy. It employs a distributed consensus algorithm on a random overlay graph to rapidly converge to a common time while applying gradual adjustments to device hardware clocks. To realize consistent sync-to-UTC (external sync) across devices while maintaining a stable device-to-device internal sync, Firefly uses a novel technique, layered synchronization, that decouples internal and external syncs. In a 248-machine Clos network, Firefly achieves sub-10ns device-to-device and ≤1μs device-to-UTC sync, and is resilient to time server failure and unstable clocks.

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