A simple scheduling heuristic for heterogeneous computing environments

Abstract

Efficient task scheduling of computationally intensive applications is one of the most essential and difficult issues when aiming at high performance in heterogeneous computing environments. Although a large number of scheduling heuristics have been presented in the literature, most of them target only homogeneous computing systems. In this paper we present a simple list-scheduling heuristic for a bounded number of heterogeneous machines called Heterogenous Critical Parent Trees (HCPT). The analysis and experiments have shown that HCPT provides comparable or even better results together with low complexity.