Environment data processing for a data centre
In recent years, data centers have accounted to 1% of the total global electricity demand. To reduce the energy consumption of data centres, different factors have been taken into account and it was found out that cooling infrastructure is the main contributor to the energy consumption of the data c...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/137960 |
| _version_ | 1826129729116176384 |
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| author | Tan, Davin Min Hao |
| author2 | Tan Rui |
| author_facet | Tan Rui Tan, Davin Min Hao |
| author_sort | Tan, Davin Min Hao |
| collection | NTU |
| description | In recent years, data centers have accounted to 1% of the total global electricity demand. To reduce the energy consumption of data centres, different factors have been taken into account and it was found out that cooling infrastructure is the main contributor to the energy consumption of the data centre. With that, different analysis has been conducted to identify components that are closely related to the cooling of server racks in a data centre. After identifying the components, a neural network LSTM model is created to forecast the cooling efficiency of the server racks using past records. |
| first_indexed | 2024-10-01T07:45:16Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/137960 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:45:16Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1379602020-04-20T09:07:49Z Environment data processing for a data centre Tan, Davin Min Hao Tan Rui School of Computer Science and Engineering tanrui@ntu.edu.sg Engineering::Computer science and engineering In recent years, data centers have accounted to 1% of the total global electricity demand. To reduce the energy consumption of data centres, different factors have been taken into account and it was found out that cooling infrastructure is the main contributor to the energy consumption of the data centre. With that, different analysis has been conducted to identify components that are closely related to the cooling of server racks in a data centre. After identifying the components, a neural network LSTM model is created to forecast the cooling efficiency of the server racks using past records. Bachelor of Engineering (Computer Science) 2020-04-20T09:07:49Z 2020-04-20T09:07:49Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/137960 en SCSE19-0053 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Tan, Davin Min Hao Environment data processing for a data centre |
| title | Environment data processing for a data centre |
| title_full | Environment data processing for a data centre |
| title_fullStr | Environment data processing for a data centre |
| title_full_unstemmed | Environment data processing for a data centre |
| title_short | Environment data processing for a data centre |
| title_sort | environment data processing for a data centre |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/137960 |
| work_keys_str_mv | AT tandavinminhao environmentdataprocessingforadatacentre |