Abstract
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.
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Acknowledgement
This research work is supported by Hunan Provincial Education Science 13th Five-Year Plan (Grant No. XJK016BXX001), Hunan Provincial Natural Science Foundation of China (Grant No. 2017JJ2016), Social Science Foundation of Hunan Province (Grant No. 17YBA049), 2017 Hunan Provincial Higher Education Teaching Reform Research Project (Grant No. 564) and Scientific Research Fund of Hunan Provincial Education Department (GrantNo. 16C0269 and No. 17B046). The work is also supported by Open foundation for University Innovation Platform from Hunan Province, China (Grand No. 16K013) and the 2011 Collaborative Innovation Center of Big Data for Financial and Economical Asset Development and Utility in Universities of Hunan Province. We also thank the anonymous reviewers for their valuable comments and insightful suggestions.
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Zhou, H., Sun, G., Du, S., Liu, F., Yang, B., Zhuo, Y. (2018). A Control Approach Using Network Latency Interval to Preserve Real-Time Causality. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11063. Springer, Cham. https://doi.org/10.1007/978-3-030-00006-6_3
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DOI: https://doi.org/10.1007/978-3-030-00006-6_3
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