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Conference

Global-Synchronization-Free Distributed Simulation Via Bilateral Dependency Resolution in Cloud-Edge Environments

Jul 2026 · Fall Joint Computer Conference · pp. 249-256 · 0 citations · 18 references

Abstract

Distributed simulation in cloud-edge environments typically relies on global synchronization to maintain causal event ordering, which introduces significant coordination overhead across wide-area networks. We present SF-LC (Synchronization-Free Local Consensus), a decentralized time management mechanism that replaces $N$-party barrier synchronization with bilateral dependency acknowledgment between the two nodes involved in each causal dependency. Each edge node schedules events autonomously and coordinates only with the relevant peer per cross-edge dependency. We formally prove that the maximum fidelity loss is bounded under the assumption of bounded network delay. Experiments across 27 configurations with 243 runs demonstrate that SF-LC reduces average end-to-end latency by over 73% compared to periodic global synchronization while achieving perfect simulation fidelity and substantially higher resource utilization. SF-LC also shows a directional latency advantage over simplified optimistic synchronization (without GVT or anti-messages).

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