ACM Transactions on Modeling and Computer Simulation

We derive new discrete event simulation algorithms for marked time point processes. The main idea is to couple a special structure, namely the associated local independence graph, as defined by Didelez, with the activity tracking algorithm of Muzy for ...

Building performance models for software services in DevOps is costly and error-prone. Accurate service demand distribution estimation is critical to precisely modeling queueing behaviors and performance prediction. However, current estimation methods ...

Adaptive Monte Carlo variance reduction is an effective framework for running a Monte Carlo simulation along with a parameter search algorithm for variance reduction, whereas an initialization step is required for preparing problem parameters in some ...

Simulation experiments are typically conducted repeatedly during the model development process, for example, to revalidate if a behavioral property still holds after several model changes. Approaches for automatically reusing and generating simulation ...

In this article, a reproducibility study is presented, with reference to the computational results reported in the article “Automatic Reuse, Adaption, and Execution of Simulation Experiments via Provenance Patterns,” by P. Wilsdorf, A. Wolpers, J. Hilton, ...

Queuing is a frequent daily activity. However, long waiting lines equate to frustration and potential safety hazards. We present a novel, personality-based model of emotional contagion and control for simulating crowd queuing. Our model integrates the ...

The rapid introduction of mobile navigation aides that use real-time road network information to suggest alternate routes to drivers is making it more difficult for researchers and government transportation agencies to understand and predict the dynamics ...