  A method for evaluating the relative performance of local, cloud and combined
processing of divisible (i.e. partitionable) data loads is presented. It is
shown how to do this in the context of Amdahl's law. A single level (star)
network operating under each of three fundamental scheduling policies is used
as an example. Applications include mobile computing, cloud computing and
signature searching.
