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Epidemic content distribution: empirical and analytic performance

Epidemic content dissemination has been proposed as an approach to mitigate frequent link disruptions and support content-centric information dissemination in opportunistic networks. Stochastic modeling is a common method to evaluate performance of epidemic dissemination schemes. The models introduce assumptions which, on one hand make them analytically tractable, while on the other, ignore attested characteristics of human mobility. In this paper, we investigate the fitness and limitations of an analytical stochastic model for content dissemination by comparison with experimental results obtained from real mobility traces. Our finding is that a homogeneous analytic model is unable to capture the performance of content dissemination with respect to content delivery delays.