DocumentCode :
13636
Title :
Greening the cloud using renewable-energy-aware service migration
Author :
Mandal, Uttam ; Habib, M. ; Shuqiang Zhang ; Mukherjee, Biswanath ; Tornatore, Massimo
Author_Institution :
Univ. of California, Davis, Davis, CA, USA
Volume :
27
Issue :
6
fYear :
2013
fDate :
November-December 2013
Firstpage :
36
Lastpage :
43
Abstract :
Cloud computing is the new paradigm of operation in information technology. While cloud computing infrastructures have benefits, their energy consumption is becoming a growing concern. Data centers, which are used to provide the infrastructure and resource pool for cloud computing, consume a large amount of energy. Future energy consumption predictions of these data centers are even bigger concerns. To reduce this energy consumption, and hence the carbon footprint and greenhouse gas emission of cloud computing, and information technology in general, energy-efficient methods of operation have to be investigated and adopted. In addition, renewable energy usage in place of non-renewable can also reduce carbon emission. However, due to its intermittency and volatility, renewable energy cannot be used to its full potential. In this study, we introduce the renewable-energy- aware cloud service and virtual machine migration to relocate energy demand using dynamic and flexible cloud resource allocation techniques, and help overcome the challenges of renewable energy. Results from a U.S.-wide cloud network infrastructure show that, using simple migration techniques, up to 30 percent nonrenewable energy can be replaced by renewable energy, while consuming only a small amount of extra resources and energy to perform demand relocation.
Keywords :
cloud computing; computer centres; energy consumption; green computing; virtual machines; US-wide cloud network infrastructure; carbon footprint; cloud computing infrastructures; cloud greening; data centers; energy consumption; energy demand relocation; energy-efficient operation methods; flexible cloud resource allocation techniques; greenhouse gas emission; information technology; renewable-energy-aware service migration; virtual machine migration; Cloud computing; Energy consumption; Green computing; Information technology; Power demand; Renewable energy sources;
fLanguage :
English
Journal_Title :
Network, IEEE
Publisher :
ieee
ISSN :
0890-8044
Type :
jour
DOI :
10.1109/MNET.2013.6678925
Filename :
6678925
Link To Document :
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