NDLI: Implementation of a Cloud Energy Saving System with Virtual Machine Dynamic Resource Allocation Method Based on OpenStack

Content Provider	IEEE Xplore Digital Library
Author	Chien-Chih Chen Pei-Lun Sun Chao-Tung Yang Jung-Chun Liu Shuo-Tsung Chen Zong-Yue Wan
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Tunghai Univ., Taichung, Taiwan (Chien-Chih Chen; Pei-Lun Sun; Chao-Tung Yang; Jung-Chun Liu; Shuo-Tsung Chen; Zong-Yue Wan)
Abstract	According to analysis by Gartner, Inc., cloud computing is one of the top 10 strategic technology for most organizations in 2015. Gartner defines a strategic technology as one with the potential for significant impact on the organization in the next three years. Even though virtualization can reduce the cost of hardware equipment, but it still faces with two problems: energy consumption and the waste of the idle resources. To solve these two problems, we propose two algorithms, i.e., Dynamic resource allocation and energy saving. In order to implement these two algorithms with live migration of virtual machines, we first build an infrastructure platform based on cloud software Open Stack. Next, dynamic resource allocation and energy saving algorithms are designed and implemented. Finally, we use the Power Distribution Unit (PDU) to monitor system status and record power consumption, the real time status monitoring data verify that the proposed algorithms are efficient in energy saving and idle resource planning.
Starting Page	190
Ending Page	196
File Size	618673
Page Count	7
File Format	PDF
ISSN	21683042
e-ISBN	9781467391177
DOI	10.1109/PAAP.2015.44
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Energy Saving Live Migration Open Stack Heuristic algorithms Random access memory Dynamic Resource Allocation Software Resource management Servers Status Monitoring Monitoring
Content Type	Text
Resource Type	Article

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