Exploiting temporal uncertainty in parallel and distributed simulations
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
Maintaining knowledge about temporal intervals
Communications of the ACM
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Approximate time and temporal uncertainty in parallel and distributed simulation
Approximate time and temporal uncertainty in parallel and distributed simulation
Methods and Applications of Interval Analysis (SIAM Studies in Applied and Numerical Mathematics) (Siam Studies in Applied Mathematics, 2.)
Hardware-in-the-loop simulation for automated benchmarking of cloud infrastructures
Proceedings of the Winter Simulation Conference
Approximate parallel simulation of web search engines
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
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Existing research has defined a new type of simulation time called Approximate Time, where the simulation's knowledge about the values that represent time is uncertain. The approach is based on temporal uncertainty and uses time intervals rather than precise time values to represent time. Simulation language constructs are necessary to provide a convenient means of exploiting the temporal uncertainty to simulation modelers. To address this problem, a new time advance primitive for process-oriented simulations was developed, termed the Interval Hold construct. Interval Hold is an extension of the well-known hold primitive used in conventional simulation languages. This paper defines the interval time advance primitive and describes an algorithm for implementing it.