The problem of divisible job scheduling consists of determining how to divide the data to be processed among processors and in which order each fraction should be sent to them. In this dissertation, we consider the divisible load scheduling problem in star networks with heterogeneous computers and links. Original mixed integer linear programming formulations of this problem are proposed, as well as a new algorithm with complexity O(n) to find the optimal solution for a special case. We also propose two fast heuristics that achieve good results for instances representing large scale computing systems.