Environment data processing for a data centre
Data Centers (DCs) are also amongst one of the highest consumers of electrical power and energy. Within these DCs, the cooling systems used can account for up to 40% of the total energy used. The project aims to investigate air-cooled tropical DCs to understand the relationship between cooling syste...
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2023
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sg-ntu-dr.10356-1659612023-04-21T15:37:40Z Environment data processing for a data centre Ang, Jun Xian Tan Rui School of Computer Science and Engineering tanrui@ntu.edu.sg Engineering::Computer science and engineering::Data Data Centers (DCs) are also amongst one of the highest consumers of electrical power and energy. Within these DCs, the cooling systems used can account for up to 40% of the total energy used. The project aims to investigate air-cooled tropical DCs to understand the relationship between cooling system operating conditions, server workload, and the data center's thermal environment, and eventually determine the long-term impacts of temperature and relative humidity (RH) on reliability and energy consumption in Singapore’s DCs.Various wireless sensors have been deployed in a DC to monitor its environmental conditions, e.g., supply & return temperature, relative humidity, and air volume flow speed. The results can be used to improve the control of the cooling system and server workload. This project will also focus on analyzing the power consumption behavior of various individual components in the DC testbed. Bachelor of Engineering (Computer Science) 2023-04-17T08:11:18Z 2023-04-17T08:11:18Z 2023 Final Year Project (FYP) Ang, J. X. (2023). Environment data processing for a data centre. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/165961 https://hdl.handle.net/10356/165961 en application/pdf Nanyang Technological University |
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Data Centers (DCs) are also amongst one of the highest consumers of electrical power and energy. Within these DCs, the cooling systems used can account for up to 40% of the total energy used. The project aims to investigate air-cooled tropical DCs to understand the relationship between cooling system operating conditions, server workload, and the data center's thermal environment, and eventually determine the long-term impacts of temperature and relative humidity (RH) on reliability and energy consumption in Singapore’s DCs.Various wireless sensors have been deployed in a DC to monitor its environmental conditions, e.g., supply & return temperature, relative humidity, and air volume flow speed. The results can be used to improve the control of the cooling system and server workload. This project will also focus on analyzing the power consumption behavior of various individual components in the DC testbed. |
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Tan Rui |
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Tan Rui Ang, Jun Xian |
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Final Year Project |
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Ang, Jun Xian |
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Ang, Jun Xian |
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Environment data processing for a data centre |
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Environment data processing for a data centre |
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Environment data processing for a data centre |
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Environment data processing for a data centre |
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Environment data processing for a data centre |
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environment data processing for a data centre |
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Nanyang Technological University |
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2023 |
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https://hdl.handle.net/10356/165961 |
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