PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers
The power consumption of cloud data centers has a considerable impact on the environment and climate change nowadays. Researchers are seeking to find practical solutions to reduce power consumption in data centers while guaranteeing the desired level of services and service level objectives. With th...
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| Format: | Article |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9239941/ |
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| author | Asadullah Shaikh Mueen Uddin Mohamed A. Elmagzoub Abdullah Alghamdi |
| author_facet | Asadullah Shaikh Mueen Uddin Mohamed A. Elmagzoub Abdullah Alghamdi |
| author_sort | Asadullah Shaikh |
| collection | DOAJ |
| description | The power consumption of cloud data centers has a considerable impact on the environment and climate change nowadays. Researchers are seeking to find practical solutions to reduce power consumption in data centers while guaranteeing the desired level of services and service level objectives. With the establishment of the data center industry, the demand for computation and data storage has been continually rising. Energy efficiency is one of the most significant issues faced by these big data centers to meet such high computational requirements. There are many industry acceptable metrics available such as PUE, DCiE, DCP, etc. Power Usage Effectiveness (PUE) metric has proven to be the most popular in measuring energy efficiency; however, it measures the power efficiency alone with no consideration for CO<sub>2</sub> emissions and the costs involved in total power usage across data centers. In this article, we proposed a novel Power Efficiency Measurement Calculator (PEMC) that combines and calculates the power efficiency, CO<sub>2</sub> emissions, and the total annual costs incurred. The pseudocode and algorithm to perform these specific PUE, DCiE, and CO<sub>2</sub> emission functions are given to explain the working of proposed work. Finally, the proposed PEMC calculator was tested and validated through a case study performed in one of the tier-level data centers in Malaysia and the results demonstrate its effectiveness compared with Power Usage Effectiveness (PUE) and other known calculators. |
| format | Article |
| id | doaj-art-ee14cac07e63494aa28aabcba6c59a9e |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-ee14cac07e63494aa28aabcba6c59a9e2025-08-20T02:23:00ZengIEEEIEEE Access2169-35362020-01-01819521619522810.1109/ACCESS.2020.30337919239941PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data CentersAsadullah Shaikh0https://orcid.org/0000-0003-4806-6159Mueen Uddin1https://orcid.org/0000-0003-1919-3407Mohamed A. Elmagzoub2Abdullah Alghamdi3https://orcid.org/0000-0002-5006-8527College of Computer Science and Information Systems, Najran University, Najran, Saudi ArabiaDepartment of Computer Science, Ilma University, Karachi, PakistanCollege of Computer Science and Information Systems, Najran University, Najran, Saudi ArabiaCollege of Computer Science and Information Systems, Najran University, Najran, Saudi ArabiaThe power consumption of cloud data centers has a considerable impact on the environment and climate change nowadays. Researchers are seeking to find practical solutions to reduce power consumption in data centers while guaranteeing the desired level of services and service level objectives. With the establishment of the data center industry, the demand for computation and data storage has been continually rising. Energy efficiency is one of the most significant issues faced by these big data centers to meet such high computational requirements. There are many industry acceptable metrics available such as PUE, DCiE, DCP, etc. Power Usage Effectiveness (PUE) metric has proven to be the most popular in measuring energy efficiency; however, it measures the power efficiency alone with no consideration for CO<sub>2</sub> emissions and the costs involved in total power usage across data centers. In this article, we proposed a novel Power Efficiency Measurement Calculator (PEMC) that combines and calculates the power efficiency, CO<sub>2</sub> emissions, and the total annual costs incurred. The pseudocode and algorithm to perform these specific PUE, DCiE, and CO<sub>2</sub> emission functions are given to explain the working of proposed work. Finally, the proposed PEMC calculator was tested and validated through a case study performed in one of the tier-level data centers in Malaysia and the results demonstrate its effectiveness compared with Power Usage Effectiveness (PUE) and other known calculators.https://ieeexplore.ieee.org/document/9239941/Cloud computingdata centercomputer storagenetwork resourcespower efficiencyCO₂ emission |
| spellingShingle | Asadullah Shaikh Mueen Uddin Mohamed A. Elmagzoub Abdullah Alghamdi PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers IEEE Access Cloud computing data center computer storage network resources power efficiency CO₂ emission |
| title | PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers |
| title_full | PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers |
| title_fullStr | PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers |
| title_full_unstemmed | PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers |
| title_short | PEMC: Power Efficiency Measurement Calculator to Compute Power Efficiency and CO₂ Emissions in Cloud Data Centers |
| title_sort | pemc power efficiency measurement calculator to compute power efficiency and co x2082 emissions in cloud data centers |
| topic | Cloud computing data center computer storage network resources power efficiency CO₂ emission |
| url | https://ieeexplore.ieee.org/document/9239941/ |
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