Mean field approximation is a powerful technique to study the performance of large stochastic systems represented as n interacting objects. Applications include load balancing models, epidemic spreading, cache replacement policies, or large-scale data centers. asymptotically exact for composed homogeneous objects under mild conditions. In this paper, we what happens when are heterogeneous. This...