In this paper, the eSim DSN approach to achieve distributed simul ation capability usi ng the Internet is presented. With thi s approach a complete simul atio n ca n be assembl ed from component subsystems that ru n o n diffe rent computers. T he subsystems interac t w ith each other via the Internet T he distri buted simul atio n uses a hub-and-s poke type network to pology. It provides the abil ity to dynamicall y link simul atio n subsystem models to di ffe rent computers as well as the ab ili ty to assign a particular model to each computer. A proof-of-concept demonstrator is also presented. T he eSim DSN demonstrator can be accessed at http://www. jsc.draper.com/esim which hosts vari ous exampl es of Web enabled simulations. IntroductionFor aeros pace syste ms with many subsystems and subcontractors or design teams that are geographically di spersed , the capability to coll aborate with each has o bvious benefits. For o ne, location becomes irrelevant thus enabling the appli cati on of the best talent to a particul ar proj ect. T hi s is particu larly relevant when appJi ed to the simul ation co mpo nent of any aerospace proj ect. Di stributed analys is and simu lation can be uti li zed in the des ign and veri ficatio n phases . In thi s context, di stri buted analysis, refers to the capability to perfo rm simul atio n based analys is fro m geographi ca ll y di spersed locations with respect to where the si mulatio n is hosted or maintained. On the other hand, di stributed simul ation refers to the capability to perfo rm simulati o ns, where so me or all of the simul atio n components or elements are not collocated. This can include software e leme nts, input elements or even hard ware e le ments. In its most abstract definition, it implies that a simul ati o n of a compl ete system at a sing le computing fac ili ty does not exist. This defin ition fo r distributed simul ati on is in co ntrast to a recent trend in di stri buted co mputi ng [1], usually referred to as "grid co mputing" or " peer-to-peer co mputing, P2P" or clustered co mputing, which distributes the simul ati o n co mputatio nal load amo ng multiple co mputers.In thi s paper, an ap proac h, referred to as eSimDSN, to achieve di stributed simulation capability usi ng the Internet is presented. T he eSilll DSN approach capabilities are descri bed as well as the benefits of using such an approach. An exa mple is presented to illustrate eSim DSN fea tures and capabi lities. It can be accessed at

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