Energy-Centric DVFS Controling Method for Multi-core Platforms

Author

Shin-gyu Kim ; Chanho Choi ; Hyeonsang Eom ; Yeom, Heon Y. ; Huichung Byun

Author_Institution

Sch. of Comput. Sci. & Eng., Seoul Nat. Univ., Seoul, South Korea

fYear

2012

fDate

10-16 Nov. 2012

Firstpage

685

Lastpage

690

Abstract

Saving data center energy consumption is a hot issue for the environment and the economy. CPU is the biggest energy consuming component in a server, and it has various energy saving technologies, such as C-state and P-state. Advances in multi-core processors and virtualization technologies have enabled many workloads to be consolidated in a physical server, and energy efficiency can be degraded due to the contention in shared resources. We observed that energy efficiency can be improved further by adjusting CPU frequency according to the degree of contention in shared resources, and the most energy-efficient CPU frequency is quite different for each situation. In this paper, we propose an energy-centric DVFS controlling method (eDVFS), which aims to minimize total energy consumption. Our experimental results show that eDVFS method is more energy-efficient and faster than current “on-demand” CPU governor.

Keywords

energy conservation; energy consumption; multiprocessing systems; power aware computing; virtualisation; C-state; P-state; data center energy consumption; eDVFS method; energy saving technologies; energy-centric DVFS controling method; energy-efficient CPU frequency; multicore processors; physical server; shared resource contention degree; total energy consumption minimization; virtualization technologies;

fLanguage

English

Publisher

ieee

Conference_Titel

High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:

Conference_Location

Salt Lake City, UT

Print_ISBN

978-1-4673-6218-4

Type

conf

DOI

10.1109/SC.Companion.2012.94

Filename

6495876