We propose a new redundancy reduction technique for large-scale discrete event simulations, called exact-differential simulation, which simulates only the altered portions of scenarios and their influences in repeated executions while still achieving the same results as the re-execution of entire simulations. We evaluate our approach by using two case studies, PHOLD benchmark and a traffic simulation of Tokyo.
