Green challenges to system software in data centers

doi:10.1007/s11704-011-0369-3

Front Comput Sci Chin

0, Vol.

Issue () : 353-368 https://doi.org/10.1007/s11704-011-0369-3

Green challenges to system software in data centers

Yuzhong SUN¹(

), Yiqiang ZHAO¹, Ying SONG¹, Yajun YANG^1,2, Haifeng FANG^1,2, Hongyong ZANG^1,2, Yaqiong LI^1,2, Yunwei GAO¹

1. Key Laboratory of Computer System and Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100190, China

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Abstract

With the increasing demand and the wide application of high performance commodity multi-core processors, both the quantity and scale of data centers grow dramatically and they bring heavy energy consumption. Researchers and engineers have applied much effort to reducing hardware energy consumption, but software is the true consumer of power and another key in making better use of energy. System software is critical to better energy utilization, because it is not only the manager of hardware but also the bridge and platform between applications and hardware. In this paper, we summarize some trends that can affect the efficiency of data centers. Meanwhile, we investigate the causes of software inefficiency. Based on these studies, major technical challenges and corresponding possible solutions to attain green system software in programmability, scalability, efficiency and software architecture are discussed. Finally, some of our research progress on trusted energy efficient system software is briefly introduced.

Keywords green software multi-core data center power efficient system software

Corresponding Author(s): SUN Yuzhong,Email:yuzhongsun@ict.ac.cn

Issue Date: 05 September 2011

Cite this article:

Yuzhong SUN,Yiqiang ZHAO,Ying SONG, et al. Green challenges to system software in data centers[J]. Front Comput Sci Chin, 0, (): 353-368.

URL:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-011-0369-3
https://academic.hep.com.cn/fcs/EN/Y0/V/I/353

Fig.1 System software’s function

Fig.2 Processor design trend (stated by max transistor integrity and peak performance) and memory (stated by bandwidth) []

Tab.1 Electricity use by end-use component in United States (2000 to 2006) []

Fig.3 Walls against high energy efficiency

Fig.4 Diagram of idle inefficiency and scaling inefficiency of software []

Fig.5 Brief call graph of Linux read system call

Fig.6 Key technologies of capacity computing

Fig.7 Three tiered scheduling scheme

Fig.8 Brief call graph of Linux read system call

Tab.2 TRainbow vs. Reference []

Fig.9 Workloads offered to (a) the dedicated servers are consolidated to (b) the consolidated servers

Tab.3 Calculated number of dedicated servers () and corresponding consolidated servers ()

Fig.10 Six exclusive servers consolidated to 2/3/4 shared servers

Fig.11 Eight exclusive servers consolidate to 4 shared servers

Fig.12 Overview of the architecture of TRainbow []

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