Publication | Symposium on Theory of Modeling and Simulation 2017
A Taxonomy of Event Time Representations
Abstract
A Taxonomy of Event Time Representations
Rhys Goldstein, Azam Khan
Symposium on Theory of Modeling and Simulation 2017
Terms such as “simulated time,” “simulation time,” “virtual time,” “logical time,” and “real time” appear throughout the modeling and simulation literature as a means of describing the timing, ordering, and/or processing of events. Unfortunately, this vocabulary can become a source of confusion due to subtle inconsistencies in how the terms are interpreted. Here we review mathematical representations of event times, identify their formal relationships, and present a taxonomy to clarify the proper meanings of the most common notions of time in a simulation context. For example, the taxonomy indicates that while both scalar logical time and virtual time feature a property called causal consistency, virtual time differs in that it is formally consistent with simulated time. We also argue that while simulated time is a form of simulation time, the two terms should not be used interchangeably. A thorough look at the various event time representations suggests new research opportunities, such as the repurposing of distributed computing techniques for debugging both parallel and sequential discrete event simulations.
Download publicationRelated Resources
2025
Flow-based Domain Randomization for Learning and Sequencing Robotic SkillsDevelops a method for robust sim to real transfer in highly complex…
2023
Leveraging Graph Neural Networks for Graph Regression and Effective Enumeration ReductionGraph-based framework represents aspects of optimal thermal management…
2022
COIL: Constrained Optimization in Workshop on Learned Latent SpaceConstrained optimization problems can be difficult because their…
2022
Reconstructing editable prismatic CAD from rounded voxel modelsReverse Engineering a CAD shape from other representations is an…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us