Energy efficient scheduling algorithm in heterogeneous environment

In this paper, we study the scheduling algorithm of high efficiency and energy saving in heterogeneous environment, propose a task scheduling algorithm based on the copy, on the basis of the initial allocation task, considering the replication of task from the perspective of performance and energy balance. Establish heterogeneous task model and the mathematical model of energy consumption, and is proofed. The experiment result shows that compared with the current BEATA algorithm, this algorithm can obviously reduce the scheduling length and energy consumption of heterogeneous cluster processing parallel application.