Abstract
The Aggressive Adaptive-Risk (AAR) approach is an efficient adaptive approach for parallel simulation which provides optimistic logical processes the ability to adjust their degree of risk, at run time, based on observed behavior. The AAR approach is implemented on a network of workstations. Performance results using large synthetic loads are reported and compared to those obtained for the Time Warp optimistic technique.