Cloud Computing: Survey on Energy Efficiency

被引:185
|
作者
Mastelic, Toni [1 ]
Oleksiak, Ariel [2 ,3 ]
Claussen, Holger [4 ]
Brandic, Ivona [1 ]
Pierson, Jean-Marc [5 ]
Vasilakos, Athanasios V. [6 ]
机构
[1] Vienna Univ Technol, Inst Software Technol & Interact Syst, Elect Commerce Grp, Favoritenstr 9-11-188, A-1040 Vienna, Austria
[2] Poznan Supercomp & Networking Ctr, Applicat Dept, PL-60529 Poznan, Poland
[3] Poznan Univ Tech, Inst Comp Sci, PL-60965 Poznan, Poland
[4] Bell Labs, Small Cells Res, Alcatel Lucent, Dublin 15, Ireland
[5] Univ Toulouse 3, Univ Toulouse, Comp Sci, F-31062 Toulouse 9, France
[6] Univ Western Macedonia, Dept Comp & Telecommun Engn, Kozani 50100, Greece
关键词
Management; Performance; Cloud computing; energy efficiency; data center; network; servers; cloud management system; appliances; POWER-CONSUMPTION; DATA CENTERS; FRAMEWORK; MEMORY; VIRTUALIZATION; PERFORMANCE; MANAGEMENT; ETHERNET;
D O I
10.1145/2656204
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Cloud computing is today's most emphasized Information and Communications Technology (ICT) paradigm that is directly or indirectly used by almost every online user. However, such great significance comes with the support of a great infrastructure that includes large data centers comprising thousands of server units and other supporting equipment. Their share in power consumption generates between 1.1% and 1.5% of the total electricity use worldwide and is projected to rise even more. Such alarming numbers demand rethinking the energy efficiency of such infrastructures. However, before making any changes to infrastructure, an analysis of the current status is required. In this article, we perform a comprehensive analysis of an infrastructure supporting the cloud computing paradigm with regards to energy efficiency. First, we define a systematic approach for analyzing the energy efficiency of most important data center domains, including server and network equipment, as well as cloud management systems and appliances consisting of a software utilized by end users. Second, we utilize this approach for analyzing available scientific and industrial literature on state-of-the-art practices in data centers and their equipment. Finally, we extract existing challenges and highlight future research directions.
引用
收藏
页数:36
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