Energy consumption model for virtual machines in cloud data centre
Cloud computing is a growing demand that allows a business to drive their goals using good Information Technology (IT). The tremendous increased in computing resources usage introduce several challenges to IT service providers. One of the key issues is the high energy consumption of the data centres...
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World Academy of Research in Science and Engineering
2020
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author | Hassan, Mohd. Zain Mad Kaidi, Hazilah Dziyauddin, Rudzidatul Akmam Sarip, Shamsul Hassan, Harnani |
author_facet | Hassan, Mohd. Zain Mad Kaidi, Hazilah Dziyauddin, Rudzidatul Akmam Sarip, Shamsul Hassan, Harnani |
author_sort | Hassan, Mohd. Zain |
collection | ePrints |
description | Cloud computing is a growing demand that allows a business to drive their goals using good Information Technology (IT). The tremendous increased in computing resources usage introduce several challenges to IT service providers. One of the key issues is the high energy consumption of the data centres. Virtualization has been used as a technique to reduce hardware footprint and thus realizing power efficiency in the data centre. However, improper placement technique has caused many virtual machines being provisioned inefficiently. Consequently, the physical servers installed as hosts are utilizing high power in data centre while the provisioned virtual machines are underutilized. This problem defeats the very reason why cloud computing was first introduced. This study focuses on identifying a relationship between virtual Central Processing Unit (CPU) of cloud servers, physical CPU, and total power consumption of its hypervisor. We developed a model to estimate power requirements for virtual machines (VM) in a cloud data centre and introduce an algorithm to place the virtual machines within the virtual data centre automatically. The model is applied to steady-state cloud data centres or in systems engineering design phase. The model can also be extended in determining a cloud server’s chargeback model based on an individual could server proportional power consumption. |
first_indexed | 2024-03-05T21:00:52Z |
format | Article |
id | utm.eprints-93762 |
institution | Universiti Teknologi Malaysia - ePrints |
last_indexed | 2024-03-05T21:00:52Z |
publishDate | 2020 |
publisher | World Academy of Research in Science and Engineering |
record_format | dspace |
spelling | utm.eprints-937622021-12-31T08:50:45Z http://eprints.utm.my/93762/ Energy consumption model for virtual machines in cloud data centre Hassan, Mohd. Zain Mad Kaidi, Hazilah Dziyauddin, Rudzidatul Akmam Sarip, Shamsul Hassan, Harnani QA75 Electronic computers. Computer science T58.5-58.64 Information technology Cloud computing is a growing demand that allows a business to drive their goals using good Information Technology (IT). The tremendous increased in computing resources usage introduce several challenges to IT service providers. One of the key issues is the high energy consumption of the data centres. Virtualization has been used as a technique to reduce hardware footprint and thus realizing power efficiency in the data centre. However, improper placement technique has caused many virtual machines being provisioned inefficiently. Consequently, the physical servers installed as hosts are utilizing high power in data centre while the provisioned virtual machines are underutilized. This problem defeats the very reason why cloud computing was first introduced. This study focuses on identifying a relationship between virtual Central Processing Unit (CPU) of cloud servers, physical CPU, and total power consumption of its hypervisor. We developed a model to estimate power requirements for virtual machines (VM) in a cloud data centre and introduce an algorithm to place the virtual machines within the virtual data centre automatically. The model is applied to steady-state cloud data centres or in systems engineering design phase. The model can also be extended in determining a cloud server’s chargeback model based on an individual could server proportional power consumption. World Academy of Research in Science and Engineering 2020-09 Article PeerReviewed Hassan, Mohd. Zain and Mad Kaidi, Hazilah and Dziyauddin, Rudzidatul Akmam and Sarip, Shamsul and Hassan, Harnani (2020) Energy consumption model for virtual machines in cloud data centre. International Journal of Advanced Trends in Computer Science and Engineering, 9 (1.4). pp. 32-37. ISSN 2278-3091 http://dx.doi.org/10.30534/ijatcse/2020/0591.42020 DOI:10.30534/ijatcse/2020/0591.42020 |
spellingShingle | QA75 Electronic computers. Computer science T58.5-58.64 Information technology Hassan, Mohd. Zain Mad Kaidi, Hazilah Dziyauddin, Rudzidatul Akmam Sarip, Shamsul Hassan, Harnani Energy consumption model for virtual machines in cloud data centre |
title | Energy consumption model for virtual machines in cloud data centre |
title_full | Energy consumption model for virtual machines in cloud data centre |
title_fullStr | Energy consumption model for virtual machines in cloud data centre |
title_full_unstemmed | Energy consumption model for virtual machines in cloud data centre |
title_short | Energy consumption model for virtual machines in cloud data centre |
title_sort | energy consumption model for virtual machines in cloud data centre |
topic | QA75 Electronic computers. Computer science T58.5-58.64 Information technology |
work_keys_str_mv | AT hassanmohdzain energyconsumptionmodelforvirtualmachinesinclouddatacentre AT madkaidihazilah energyconsumptionmodelforvirtualmachinesinclouddatacentre AT dziyauddinrudzidatulakmam energyconsumptionmodelforvirtualmachinesinclouddatacentre AT saripshamsul energyconsumptionmodelforvirtualmachinesinclouddatacentre AT hassanharnani energyconsumptionmodelforvirtualmachinesinclouddatacentre |