Frequency-Utilization Based Power-Aware Schedule Policy for Real-Time Multi-core System

Author

Lin Zhou ; Lei Yu

Author_Institution

State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China

fYear

2013

fDate

20-23 Aug. 2013

Firstpage

200

Lastpage

207

Abstract

With the global energy crisis, nowadays, high performance is no longer our only pursuit, Green Computing becomes another tendency in data center research. In this paper, we present a Frequency-Utilization based Power-Aware (FUPA) model for single CPU, then multi-cores system. A theoretical power optimized frequency for certain workload is deduced, and the optimized cores number is found. We realize the model in the GridSim simulator which proves the good performance and the power-saving capability of this approach.

Keywords

computer centres; green computing; grid computing; multiprocessing systems; power aware computing; GridSim simulator; data center research; frequency-utilization based power-aware schedule policy; global energy crisis; green computing; multicores system; power-saving capability; real-time multicore system; Computational modeling; Green products; Optimization; Power demand; Real-time systems; Time-frequency analysis; Voltage control; Dynamic Voltage Scaling (DVS); distributed system; energy optimization; green computing; multi-cores; power-aware scheduling; soft real-time;

fLanguage

English

Publisher

ieee

Conference_Titel

Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing

Conference_Location

Beijing

Type

conf

DOI

10.1109/GreenCom-iThings-CPSCom.2013.54

Filename

6682068