Analysis and modeling of database storage optimization power consumption usage for green data centers
Data centers comprised of the building block of Internet Technology (IT) business organizations holding the capabilities of centralized repository for storage, management, networking and dissemination of data. The data centers consumed a lot of energy in order to ensure all the processes in data...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/15011/1/ANALYSIS%20AND%20MODELING%20OF%20DATABASE%20STORAGE%2024pages.pdf http://eprints.utem.edu.my/id/eprint/15011/2/Analysis%20and%20modeling%20of%20database%20storage%20optimization%20power%20consumption%20usage%20for%20green%20data%20centers.pdf http://eprints.utem.edu.my/id/eprint/15011/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=92146 |
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| Summary: | Data centers comprised of the building block of Internet Technology (IT) business
organizations holding the capabilities of centralized repository for storage, management,
networking and dissemination of data. The data centers consumed a lot of energy in order
to ensure all the processes in data centers running completely every second which this
situation can be lead to increase carbon footprint and give negative impact to the world
(global warming). One way to reduce the energy consumption is by optimizing space
storage in data centers. Thus, the proxy-based approach is used to optimize the space
storage in CMR database in order to establish green data centers. This technique requires
proxy candidate in order to drop some attribute for decrease the space storage. The proxies
can be discovered by using a developed algorithm of functional dependencies (FDs) called
as TANE algorithm. By using TANE algorithm, the proxy candidate and droppable
attribute for table in CMR database can be discovered before the space saving can be
calculate by given formula. The power saving can be calculated after the amount of space
saving is known. The correlation between amount of space saving and amount of power
saving was visualized in form of graph in the green data center correlation tool. The project
concludes the result from the experiment achieved all the objectives and answered all the
research questions. |
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