In this paper, we propose to model memory access profile information as loop nests exhibiting useful characteristics on the memory behavior, such as periodicity, linearly linked memory access patterns and repetitions. It is shown that static analysis methods as the polytope model approach can then apply onto the generated nested-loop representations. Moreover, the modeling loop nests can themselves be instrumented and run in order to generate further useful information that can also be modeled and analyzed.