Towards Energy-aware Scheduling of Scientific Workflows

被引：2
|
作者：
Warade, Mehul [1 ]
Schneider, Jean-Guy [1 ]
Lee, Kevin [1 ]
机构：
[1] Deakin Univ, Sch Informat Technol, Geelong, Vic 3220, Australia
来源：
2022 INTERNATIONAL CONFERENCE ON GREEN ENERGY, COMPUTING AND SUSTAINABLE TECHNOLOGY (GECOST) | 2022年
关键词：
Energy-Aware Computing; Scientific workflows; Scheduling; PERFORMANCE;
D O I：
10.1109/GECOST55694.2022.10010634
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Contemporary scientific computation is increasingly structured using scientific workflows that are executed on highly scalable compute clusters. The execution of these workflows is generally geared towards optimizing run-time performance with the energy footprint of the execution being ignored. However, there is evidence that minimizing both execution time as well as energy consumption are not mutually exclusive. The aim of the work presented in this paper is to highlight the benefits of energy-aware scientific workflow execution. In this paper, we propose a set of requirements for an energy-aware scheduling and present an architecture for the implementation of an energy-aware scheduler.
引用
收藏
页码：93 / 98
页数：6
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