DocumentCode
2094091
Title
Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines
Author
Yang, Chao-Tung ; Wang, Kuan-Chieh ; Cheng, Hsiang-Yao ; Kuo, Cheng-Ta ; Chu, William Cheng C
Author_Institution
Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan
fYear
2011
fDate
2-4 Sept. 2011
Firstpage
726
Lastpage
733
Abstract
With the development of electronics in governments and business, the implementation of these services are increasing demand for servers. Continued expansion of servers represents our need for more space, power, air conditioning, network, human resources and other infrastructure. Regardless of how powerful servers now become, we do not make good use of all resources and strive for the waste. In this paper, the Green Power Management (GPM) is proposed for load balancing for virtual machine management on cloud. It includes three main phrases: (1) supporting green power mechanism, (2) implementing virtual machine resource monitor onto Open Nebula with web-based interface, and (3) integrating a Dynamic Resource Allocation (DRA) and Open Nebula functions as bases instead of traditionally booting physical machines with command mode.
Keywords
cloud computing; network servers; power aware computing; resource allocation; user interfaces; virtual machines; OpenNebula; Web-based interface; cloud virtual machines; dynamic resource allocation; green power management; load balancing; servers; virtual machine management; virtual machine resource monitor; Computer architecture; Hardware; Loading; Operating systems; Resource management; Virtual machine monitors; Virtual machining; Dynamic Resource Allocation (DRA); Green Power Management (GPM); Virtual Machine; cloud computing;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing and Communications (HPCC), 2011 IEEE 13th International Conference on
Conference_Location
Banff, AB
Print_ISBN
978-1-4577-1564-8
Electronic_ISBN
978-0-7695-4538-7
Type
conf
DOI
10.1109/HPCC.2011.103
Filename
6063066
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