Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique

A duplicator machine aims to improve the time taken for duplication or data transfer. The process of duplication is done by copying each data bit from the source (master) device to the slaves including the unused memory region. However, to duplicate a 64GB Embedded Multimedia Card (eMMC) memory is u...

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Main Author:	Rostam, Nur Aqilah Paskhal
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA75.5-76.95 Electronic computers Computer science
Online Access:	http://eprints.usm.my/48097/1/Formatting%20Final%20Draf%20-%20Corrections%20New%20cut.pdf
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id	my-usm-ep.48097
record_format	uketd_dc
spelling	my-usm-ep.480972021-01-14T02:42:18Z Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique 2019-05 Rostam, Nur Aqilah Paskhal QA75.5-76.95 Electronic computers. Computer science A duplicator machine aims to improve the time taken for duplication or data transfer. The process of duplication is done by copying each data bit from the source (master) device to the slaves including the unused memory region. However, to duplicate a 64GB Embedded Multimedia Card (eMMC) memory is usually very time consuming which takes between 2 hours to 7 hours. In addition, the product speed specification promised by the vendor is different from what they claimed to be when it is tested in real life. Moreover, bigger data creates a transmission problem, causing delay during data duplication. Consequently, this will reduce duplication performance in terms of duration. Therefore, this study was proposed to enhance the duplication technique duration. This was achieved by adopting data storage and transmission concepts through sorting and compression techniques. Parallel technique was adopted to enhance data duplication process using multiple slaves. The impact of data type and data structure to the duplication performance was also studied. Four experiments were conducted by using the same size of heterogeneous digital data (i.e. document, picture, audio and movie). Overall, the results showed that data duplication process using different data type render a different duration. The proposed technique has reduced time consumption by 20% to 50% during data duplication depending on the technique and the environment of local and across devices. 2019-05 Thesis http://eprints.usm.my/48097/ http://eprints.usm.my/48097/1/Formatting%20Final%20Draf%20-%20Corrections%20New%20cut.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Malaysia
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA75.5-76.95 Electronic computers Computer science
spellingShingle	QA75.5-76.95 Electronic computers Computer science Rostam, Nur Aqilah Paskhal Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique
description	A duplicator machine aims to improve the time taken for duplication or data transfer. The process of duplication is done by copying each data bit from the source (master) device to the slaves including the unused memory region. However, to duplicate a 64GB Embedded Multimedia Card (eMMC) memory is usually very time consuming which takes between 2 hours to 7 hours. In addition, the product speed specification promised by the vendor is different from what they claimed to be when it is tested in real life. Moreover, bigger data creates a transmission problem, causing delay during data duplication. Consequently, this will reduce duplication performance in terms of duration. Therefore, this study was proposed to enhance the duplication technique duration. This was achieved by adopting data storage and transmission concepts through sorting and compression techniques. Parallel technique was adopted to enhance data duplication process using multiple slaves. The impact of data type and data structure to the duplication performance was also studied. Four experiments were conducted by using the same size of heterogeneous digital data (i.e. document, picture, audio and movie). Overall, the results showed that data duplication process using different data type render a different duration. The proposed technique has reduced time consumption by 20% to 50% during data duplication depending on the technique and the environment of local and across devices.
format	Thesis
qualification_level	Master's degree
author	Rostam, Nur Aqilah Paskhal
author_facet	Rostam, Nur Aqilah Paskhal
author_sort	Rostam, Nur Aqilah Paskhal
title	Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique
title_short	Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique
title_full	Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique
title_fullStr	Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique
title_full_unstemmed	Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique
title_sort	enhanced automated heterogeneous data duplication model using parallel data compression and sorting technique
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Malaysia
publishDate	2019
url	http://eprints.usm.my/48097/1/Formatting%20Final%20Draf%20-%20Corrections%20New%20cut.pdf
_version_	1747821879801937920

Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique

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