Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines

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 po...

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Main Authors: Chao-Tung Yang, Kuan-Chieh Wang, Hsiang-Yao Cheng, Cheng-Ta Kuo, Chu, W. C. C.
Format: Conference Proceeding
Language:English
Subjects:
cloud computing
Computer architecture
Dynamic Resource Allocation (DRA)
Green Power Management (GPM)
Hardware
Loading
Operating systems
Resource management
Virtual Machine
Virtual machine monitors
Virtual machining
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creator Chao-Tung Yang
Kuan-Chieh Wang
Hsiang-Yao Cheng
Cheng-Ta Kuo
Chu, W. C. C.
description 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.
doi_str_mv 10.1109/HPCC.2011.103
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subjects cloud computing
Computer architecture
Dynamic Resource Allocation (DRA)
Green Power Management (GPM)
Hardware
Loading
Operating systems
Resource management
Virtual Machine
Virtual machine monitors
Virtual machining
title Green Power Management with Dynamic Resource Allocation for Cloud Virtual Machines
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