  We offer an alternative real-space description, based purely on activated
processes, for the understanding of relaxation dynamics in hierarchical
landscapes. To this end, we use the cluster model, a coarse-grained lattice
model of a jammed system, to analyze rejuvenation and memory effects during
aging after a hard quench. In this model, neighboring particles on a lattice
aggregate through local interactions into clusters that fragment with a
probability based on their size. Despite the simplicity of the cluster model,
it has been shown to reproduce salient observables of the aging dynamics in
colloidal systems, such as those accounting for particle mobility and
displacements. Here, we probe the model for more complex quench protocols and
show that it exhibits rejuvenation and memory effects similar to those
attributed to the complex hierarchical structure of a glassy energy landscape.
