  We investigate the Large Deviation behavior in small time of continuous
Gaussian processes. We introduce a general procedure allowing to derive Large
Deviation Principles in small time starting from the well understood context of
Large Deviation Principles with a small parameter, going beyond the
self-similar case. Several motivating examples are also treated.
