Scheduling issues in high-performance computing

In this paper we consider the problem of scheduling computational resources across a range of high-performance systems, from tightly coupled parallel systems to loosely coupled ones like networks of workstations and geographically dispersed meta-computing environments. We review the role of architecture issues in the choice of scheduling discipline and we present a selected set of policies that address different aspects of the scheduling problem. This discussion serves as the motivation for addressing the success of academic research in scheduling as well as its common criticisms.