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...

Full description

Saved in:

Bibliographic Details
Main Author:	Wan Noor Hamiza, Wan Ali
Format:	Thesis
Language:	English English
Published:	2014
Subjects:	QA Mathematics QA76 Computer software
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
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utem-ep.15011
record_format	uketd_dc
spelling	my-utem-ep.150112022-04-20T09:59:38Z Analysis and modeling of database storage optimization power consumption usage for green data centers 2014 Wan Noor Hamiza, Wan Ali QA Mathematics QA76 Computer software 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. 2014 Thesis http://eprints.utem.edu.my/id/eprint/15011/ http://eprints.utem.edu.my/id/eprint/15011/1/ANALYSIS%20AND%20MODELING%20OF%20DATABASE%20STORAGE%2024pages.pdf text en public http://eprints.utem.edu.my/id/eprint/15011/2/Analysis%20and%20modeling%20of%20database%20storage%20optimization%20power%20consumption%20usage%20for%20green%20data%20centers.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=92146 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
topic	QA Mathematics QA76 Computer software
spellingShingle	QA Mathematics QA76 Computer software Wan Noor Hamiza, Wan Ali Analysis and modeling of database storage optimization power consumption usage for green data centers
description	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.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Wan Noor Hamiza, Wan Ali
author_facet	Wan Noor Hamiza, Wan Ali
author_sort	Wan Noor Hamiza, Wan Ali
title	Analysis and modeling of database storage optimization power consumption usage for green data centers
title_short	Analysis and modeling of database storage optimization power consumption usage for green data centers
title_full	Analysis and modeling of database storage optimization power consumption usage for green data centers
title_fullStr	Analysis and modeling of database storage optimization power consumption usage for green data centers
title_full_unstemmed	Analysis and modeling of database storage optimization power consumption usage for green data centers
title_sort	analysis and modeling of database storage optimization power consumption usage for green data centers
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2014
url	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
_version_	1747833859687317504

Analysis and modeling of database storage optimization power consumption usage for green data centers

Similar Items