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Discrete event simulation (DES) has been widely used for both theoretical and application researches in various fields. The low-cost numerical experiments by DES can be carried out repeatedly to investigate the collective behavior or dynamics of a complex system which usually consists of a huge number of elements or is too expensive to be established realistically [3]. As for engineering applications, new algorithms, measures, or even standards, often require a great deal of DES experiments before actual deploying, especially in the field of communication networks. However, the feasibility of DES method relies not only on the correctness of computational model of the target system but also the spend in the time of computation. An experiment that costs over days of computer computation will limit the application area of DES considerably.

The Speedup of Discrete Event Simulations by Utilizing CPU Caching