A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems

被引:413
作者
Beloglazov, Anton [1 ]
Buyya, Rajkumar [1 ]
Lee, Young Choon [2 ]
Zomaya, Albert [2 ]
机构
[1] Univ Melbourne, Cloud Comp & Distributed Syst CLOUDS Lab, Dept Comp Sci & Software Engn, Melbourne, Vic 3010, Australia
[2] Univ Sydney, Ctr Distributed & High Performance Comp, Sch Informat Technol, Sydney, NSW 2600, Australia
来源
ADVANCES IN COMPUTERS, VOL 82 | 2011年 / 82卷
关键词
POWER; ENVIRONMENTS; MANAGEMENT; DESIGN;
D O I
10.1016/B978-0-12-385512-1.00003-7
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Traditionally, the development of computing systems has been focused on performance improvements driven by the demand of applications from consumer, scientific, and business domains. However, the ever-increasing energy consumption of computing systems has started to limit further performance growth due to overwhelming electricity bills and carbon dioxide footprints. Therefore, the goal of the computer system design has been shifted to power and energy efficiency. To identify open challenges in the area and facilitate future advancements, it is essential to synthesize and classify the research on power- and energy-efficient design conducted to date. In this study, we discuss causes and problems of high power/energy consumption, and present a taxonomy of energy-efficient design of computing systems covering the hardware, operating system, virtualization, and data center levels. We survey various key works in the area and map them onto our taxonomy to guide future design and development efforts. This chapter concludes with a discussion on advancements identified in energy-efficient computing and our vision for future research directions.
引用
收藏
页码:47 / 111
页数:65
相关论文
共 69 条
[1]   Energy-Efficient Algorithms [J].
Albers, Susanne .
COMMUNICATIONS OF THE ACM, 2010, 53 (05) :86-96
[2]  
American Society of Heating Refrigerating and Air-Conditioning Engineers, 2004, THERM GUID DAT PROC
[3]  
Andrew L. L., 2010, P ACM INT C MEAS MOD
[4]  
[Anonymous], P 11 IFIP IEEE INT N
[5]   A View of Cloud Computing [J].
Armbrust, Michael ;
Fox, Armando ;
Griffith, Rean ;
Joseph, Anthony D. ;
Katz, Randy ;
Konwinski, Andy ;
Lee, Gunho ;
Patterson, David ;
Rabkin, Ariel ;
Stoica, Ion ;
Zaharia, Matei .
COMMUNICATIONS OF THE ACM, 2010, 53 (04) :50-58
[6]   Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport [J].
Baliga, Jayant ;
Ayre, Robert W. A. ;
Hinton, Kerry ;
Tucker, Rodney S. .
PROCEEDINGS OF THE IEEE, 2011, 99 (01) :149-167
[7]  
Barham P., 2003, P 19 ACM S OP SYST P, P164
[8]  
BARROSO L, 2005, PRICE PERFORMANCE, V3, P53
[9]   The case for energy-proportional computing [J].
Barroso, Luiz Andre ;
Hoelzle, Urs .
COMPUTER, 2007, 40 (12) :33-+
[10]   A survey of design techniques for system-level dynamic power management [J].
Benini, L ;
Bogliolo, A ;
De Micheli, G .
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2000, 8 (03) :299-316