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A Two-Tier Energy-Aware Resource Management for Virtualized Cloud Computing System
Joint Authors
Huang, Wei
Wang, Zhen
Qian, Zhuzhong
Dong, Mianxiong
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-03
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The economic costs caused by electric power take the most significant part in total cost of data center; thus energy conservation is an important issue in cloud computing system.
One well-known technique to reduce the energy consumption is the consolidation of Virtual Machines (VMs).
However, it may lose some performance points on energy saving and the Quality of Service (QoS) for dynamic workloads.
Fortunately, Dynamic Frequency and Voltage Scaling (DVFS) is an efficient technique to save energy in dynamic environment.
In this paper, combined with the DVFS technology, we propose a cooperative two-tier energy-aware management method including local DVFS control and global VM deployment.
The DVFS controller adjusts the frequencies of homogenous processors in each server at run-time based on the practical energy prediction.
On the other hand, Global Scheduler assigns VMs onto the designate servers based on the cooperation with the local DVFS controller.
The final evaluation results demonstrate the effectiveness of our two-tier method in energy saving.
American Psychological Association (APA)
Huang, Wei& Wang, Zhen& Dong, Mianxiong& Qian, Zhuzhong. 2016. A Two-Tier Energy-Aware Resource Management for Virtualized Cloud Computing System. Scientific Programming،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1118219
Modern Language Association (MLA)
Huang, Wei…[et al.]. A Two-Tier Energy-Aware Resource Management for Virtualized Cloud Computing System. Scientific Programming No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1118219
American Medical Association (AMA)
Huang, Wei& Wang, Zhen& Dong, Mianxiong& Qian, Zhuzhong. A Two-Tier Energy-Aware Resource Management for Virtualized Cloud Computing System. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1118219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118219