ACM Transactions on Programming Languages and Systems (TOPLAS)
Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Reliability in computing: the role of interval methods in scientific computing
Reliability in computing: the role of interval methods in scientific computing
Parallel discrete-event simulation of FCFS stochastic queueing networks
PPEALS '88 Proceedings of the ACM/SIGPLAN conference on Parallel programming: experience with applications, languages and systems
Mathematical foundations for time warp systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
Approximate time-parallel simulation of queueing systems with losses
WSC '92 Proceedings of the 24th conference on Winter simulation
The Department of Defense High Level Architecture
Proceedings of the 29th conference on Winter simulation
Tolerant synchronization for distributed simulations of interconnected computer networks
Proceedings of the eleventh workshop on Parallel and distributed simulation
Unsynchronized parallel discrete event simulation
Proceedings of the 30th conference on Winter simulation
On event ordering in parallel discrete event simulation
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
Exploiting temporal uncertainty in parallel and distributed simulations
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
Parallel trace-driven cache simulation by time partitioning
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Pre-sampling as an approach for exploiting temporal uncertainty
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
A causality based time management mechanism for federated simulation
Proceedings of the fifteenth workshop on Parallel and distributed simulation
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Critical causality in distributed virtual environments
Proceedings of the sixteenth workshop on Parallel and distributed simulation
Real-time causal message ordering in multimedia systems
ICDCS '95 Proceedings of the 15th International Conference on Distributed Computing Systems
Space uncertain simulation events: some concepts and an application to optimistic synchronization
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Time-parallel simulation with approximative state matching
Proceedings of the eighteenth workshop on Parallel and distributed simulation
Towards Time-Parallel Road Traffic Simulation
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Approximate time-parallel cache simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
Efficient Analysis of Simultaneous Events in Distributed Simulation
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Controlling Bias in Optimistic Simulations with Space Uncertain Events
DS-RT '08 Proceedings of the 2008 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications
Hi-index | 0.00 |
Even after several decades of research, modeling is considered an art, with a high liability to produce incorrect abstractions of real world systems. Therefore, validation and verification of simulation models is considered an indispensable method to establish the credibility of developed models. In the process of parallelizing or distributing a given credible simulation model, a bias is introduced, possibly leading to serious errors in simulation results. Depending on the mechanisms used for parallelization or distribution, a separate validation of the parallel or distributed model is required. A necessary first step for such a validation is an understanding of the sources of bias that might occur through parallelization or distribution of a simulation model. The intention of this paper is to give an overview of the various types of bias and to give a formal definition of the bias and its quantification.