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Virtual time
Open accessAbstract
Virtual time is a new paradigm for organizing and synchronizing distributed systems which can be applied to such problems as distributed discrete event simulation and distributed database concurrency control. Virtual time provides a flexible abstraction of real time in much the same way that virtual memory provides an abstraction of real memory. It is implemented using the Time Warp mechanism, a synchronization protocol distinguished by its reliance on lookahead-rollback, and by its implementation of rollback via antimessages.
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Citations
Cited by
Exploiting virtual synchrony in distributed systems
Birman, K., & Joseph, T. (1987) · ACM SIGOPS Operating Systems Review · doi:10.1145/37499.37515 · Cited by 601
Graphite: A distributed parallel simulator for multicores
Miller, J. E., Kasture, H., Kurian, G., Gruenwald, C., Beckmann, N., Celio, C., Eastep, J., & Agarwal, A. (2010) · HPCA - 16 2010 The Sixteenth International Symposium on High-Performance Computer Architecture · doi:10.1109/hpca.2010.5416635 · Cited by 478
Speculative execution in a distributed file system
Nightingale, E. B., Chen, P. M., & Flinn, J. (2005) · ACM SIGOPS Operating Systems Review · doi:10.1145/1095809.1095829 · Cited by 94
Metadata
- Authors
- Jefferson, D. R.
- Venue
- ACM Transactions on Programming Languages and Systems
- Published
- 1985-07
- Volume
- 7
- Issue
- 3
- Pages
- 404-425
- ISSN
- 0164-0925 (ISSN-L)
- 1558-4593
- OpenAlex
- W2296636214
- Cited by
- 2,397
- References
- 0
- FWCI
- 40.60
- Type
- journal article
- Language
- en
- Open access
- bronze
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How to cite
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- CoChat. (2026). Citation check: Virtual time. https://app.cochat.ai/papers/10.1145/3916.3988
- The paper
- Jefferson, D. R. (1985). Virtual time. ACM Transactions on Programming Languages and Systems. https://doi.org/10.1145/3916.3988
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
