DVFS-Aware Consolidation for Energy-Efficient Clouds

被引：18

作者：

Arroba, Patricia ^{[1
]}

Moya, Jose M. ^{[1
]}

Ayala, Jose L. ^{[2
]}

Buyya, Rajkumar ^{[3
]}

机构：

[1] Univ Politecn Madrid, CSS, Integrated Syst Lab, Madrid, Spain

[2] Univ Complutense Madrid, DACYA, Madrid, Spain

[3] Univ Melbourne, CLOUDS Lab, Melbourne, Vic, Australia

来源：

2015 INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURE AND COMPILATION (PACT) | 2015年

关键词：

Cloud Computing; Dynamic Voltage and Frequency Scaling; Dynamic Consolidation; Energy Efficiency; ALGORITHMS;

D O I：

10.1109/PACT.2015.59

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nowadays, data centers consume about 2% of the worldwide energy production, originating more than 43 million tons of CO2 per year. Cloud providers need to implement an energy-efficient management of physical resources in order to meet the growing demand for their services and ensure minimal costs. From the application-framework viewpoint, Cloud workloads present additional restrictions as 24/7 availability, and SLA constraints among others. Also, workload variation impacts on the performance of two of the main strategies for energy-efficiency in Cloud data centers: Dynamic Voltage and Frequency Scaling (DVFS) and Consolidation. Our work proposes two contributions: 1) a DVFS policy that takes into account the trade-offs between energy consumption and performance degradation; 2) a novel consolidation algorithm that is aware of the frequency that would be necessary when allocating a Cloud workload in order to maintain QoS. Our results demonstrate that including DVFS awareness in workload management provides substantial energy savings of up to 39.14% for scenarios under dynamic workload conditions.

引用

页码：494 / 495

页数：2

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