Improving Energy Efficiency in Data Centers and federated Cloud Environments Comparison of CoolEmAll and Eco2Clouds approaches and metrics

被引：8

作者：

Volk, Eugen ^{[1
]}

Tenschert, Axel ^{[1
]}

Gienger, Michael ^{[1
]}

Oleksiak, Ariel ^{[2
]}

Siso, Laura ^{[3
]}

Salom, Jaume ^{[3
]}

机构：

[1] High Performance Comp Ctr Stuttgart HLRS, D-70569 Stuttgart, Germany

[2] Poznan SuperComp & Networking Ctr, Applicat Dept, Poznan, Poland

[3] IREC, Catalonia Inst Energy Res, Thermal Energy & Bldg Performance Grp, Barcelona, Spain

来源：

2013 IEEE THIRD INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING (CGC 2013) | 2013年

基金：

欧盟第七框架计划;

关键词：

energy efficiency; metrics; cloud federations; energy aware data centers;

D O I：

10.1109/CGC.2013.76

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Significant data centers energy footprints and the increase in energy prices have stimulated investigations into possible metrics and methods to define, quantify and improve the energy efficiency of data centers and federated cloud environments. Studies include metrics and analyses from various points of views, that address both design and operation phases. In this paper we present two complementary energy-efficiency optimization approaches covered in the scope of EU projects: CoolEmAll - with focus on building energy efficient data centers, and Eco2Clouds - with focus on energy-efficient cloud-application deployment in federated cloud-environments, and describe metrics applied in these projects to assess and optimize energy-efficiency. Both approaches make use of metrics to assess energy-efficiency of data center-and cloud resources, and energy-costs of application/workload execution for various data center granularity levels and federation-sites.

引用

页码：443 / 450

页数：8

共 3 条

[1] Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers
Fiandrino, Claudio
Kliazovich, Dzmitry
Bouvry, Pascal
Zomaya, Albert Y.
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2017, 5 (04) : 738 - 750
[2] Improving Energy Efficiency Of Computing Servers And Communication Fabric In Cloud Data Centers
Prathibha, Soma
Latha, B.
Sumathi, G.
2016 SECOND IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN), 2016, : 17 - 21
[3] DYNAMIC VIRTUAL MACHINE CONSOLIDATION FOR IMPROVING ENERGY EFFICIENCY IN CLOUD DATA CENTERS
Deng, Dongyan
He, Kejing
Chen, Yanhua
PROCEEDINGS OF 2016 4TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (IEEE CCIS 2016), 2016, : 366 - 370

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