In this paper, we deal with the large-scale divisible load problem studied in [12]. We show how to reduce this problem to a classical preemptive scheduling problem on a single machine, thereby establishing new complexity results, and providing new approximation algorithms and heuristics that subsume those presented in [12]. We also give some hints on how to extend the results to a more realistic framework where communication costs are taken into account.