Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/54384
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dc.contributor.authorPragan Wattanasomboonen_US
dc.contributor.authorYuthapong Somchiten_US
dc.date.accessioned2018-09-04T10:12:40Z-
dc.date.available2018-09-04T10:12:40Z-
dc.date.issued2015-01-01en_US
dc.identifier.other2-s2.0-84966474648en_US
dc.identifier.other10.1109/ICITEED.2015.7408955en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84966474648&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/54384-
dc.description.abstract© 2015 IEEE. Nowadays, cloud computing has been widely used. The Virtual Machines (VMs) are created on servers in cloud computing. The VM scheduling on servers for energy saving in the cloud computing has been studied. The Virtual Machine Scheduling Algorithm (VSA) is proposed to schedule VMs in cluster environments. However, it is not effective and has high time complexity. In this paper, we propose a new scheduling method called Energy-aware Virtual Machine Placement (EVP) method to schedule VMs that can reduce power consumption. In addition, the EVP method has lower time complexity. We also formulate power consumption model to evaluate the performance of the EVP method. Finally, we evaluate the EVP method by simulation. The experimental results show that the EVP method has better performance.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleVirtual machine placement method for energy saving in cloud computingen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceedings - 2015 7th International Conference on Information Technology and Electrical Engineering: Envisioning the Trend of Computer, Information and Engineering, ICITEE 2015en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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