  Results of extensive Monte-Carlo simulations that investigate the
out-of-equilibrium dynamics of the one-dimensional Ising spin glass model with
a Gaussian bond-distribution are presented. At low enough temperatures a
typical (interrupted) aging scenario is established as in two- and similar to
three-dimensional spin glass models. Since the underlying mechanism is a slow
domain-growth we study in detail spatial correlations and the time-dependence
of the domain- as well as kink-statistics. We find that all correlation
functions in time and in space as well as the domain-size probability
distribution function obey simple scaling laws.
