Virtual machine placement of cloud computing for energy reservation

© 2019 Int. J. of GEOMATE. Cloud computing has been widely deployed. The virtual machines (VMs) are created in servers upon the requests from users and they are deleted from the servers after the rental time expires. This is called dynamic workload condition. VMs should be consolidated into the serv...

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Main Authors: Yuthapong Somchit, Pragan Wattanasomboon
Format: Journal
Published: 2019
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/65315
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-653152019-08-05T04:37:53Z Virtual machine placement of cloud computing for energy reservation Yuthapong Somchit Pragan Wattanasomboon Agricultural and Biological Sciences Earth and Planetary Sciences Engineering Environmental Science © 2019 Int. J. of GEOMATE. Cloud computing has been widely deployed. The virtual machines (VMs) are created in servers upon the requests from users and they are deleted from the servers after the rental time expires. This is called dynamic workload condition. VMs should be consolidated into the servers to reduce the number of servers running VMs. Servers that do not have any VMs should be changed to sleep mode to reduce energy consumption. Therefore, VM scheduling which selects servers to run VMs has to find servers to place VMs and has to migrate servers under this dynamic workload condition. However, migration also consumes energy, so the number of migrations should be limited to save energy. In this paper, a VM scheduling method called Energy-Aware Scheduling Updating (ESU) which reduces total energy consumption in the data center is purposed. It chooses servers to create VMs. In addition, it updates the locations of VMs when changes occur while it limits the number of migrations to reduce energy consumption. The performance is of ESU is evaluated by computer simulation. The results show that ESU has a better performance considering energy consumption among the protocols used in comparison. 2019-08-05T04:31:43Z 2019-08-05T04:31:43Z 2019-01-01 Journal 21862982 2-s2.0-85068611514 10.21660/2019.55.71310 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068611514&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65315
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
Earth and Planetary Sciences
Engineering
Environmental Science
spellingShingle Agricultural and Biological Sciences
Earth and Planetary Sciences
Engineering
Environmental Science
Yuthapong Somchit
Pragan Wattanasomboon
Virtual machine placement of cloud computing for energy reservation
description © 2019 Int. J. of GEOMATE. Cloud computing has been widely deployed. The virtual machines (VMs) are created in servers upon the requests from users and they are deleted from the servers after the rental time expires. This is called dynamic workload condition. VMs should be consolidated into the servers to reduce the number of servers running VMs. Servers that do not have any VMs should be changed to sleep mode to reduce energy consumption. Therefore, VM scheduling which selects servers to run VMs has to find servers to place VMs and has to migrate servers under this dynamic workload condition. However, migration also consumes energy, so the number of migrations should be limited to save energy. In this paper, a VM scheduling method called Energy-Aware Scheduling Updating (ESU) which reduces total energy consumption in the data center is purposed. It chooses servers to create VMs. In addition, it updates the locations of VMs when changes occur while it limits the number of migrations to reduce energy consumption. The performance is of ESU is evaluated by computer simulation. The results show that ESU has a better performance considering energy consumption among the protocols used in comparison.
format Journal
author Yuthapong Somchit
Pragan Wattanasomboon
author_facet Yuthapong Somchit
Pragan Wattanasomboon
author_sort Yuthapong Somchit
title Virtual machine placement of cloud computing for energy reservation
title_short Virtual machine placement of cloud computing for energy reservation
title_full Virtual machine placement of cloud computing for energy reservation
title_fullStr Virtual machine placement of cloud computing for energy reservation
title_full_unstemmed Virtual machine placement of cloud computing for energy reservation
title_sort virtual machine placement of cloud computing for energy reservation
publishDate 2019
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068611514&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65315
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