A Control Approach Using Network Latency Interval to Preserve Real-Time Causality

A Distributed Virtual Environment (DVE) is to simulate the real world and offer the fidelity with real-time constraint. However, existing causal order control methods could not function well due to the large and dynamic network transmission latency in big data scale environments. In this paper, a novel control approach using network latency interval to preserve real-time causality is proposed to effectively select the causal control information dynamically adapted to the network latency and irrelevant to the computing node scale. The results of groups of experiments indicate that the proposed approach is more efficient in preserving causal order delivery of events in large-scale networks, and in the meanwhile, meets the real-time constraint of causality preservation in a DVE.