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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
http://eprints.usm.my/48097/
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spelling my.usm.eprints.48097 http://eprints.usm.my/48097/ Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique 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 NonPeerReviewed application/pdf en http://eprints.usm.my/48097/1/Formatting%20Final%20Draf%20-%20Corrections%20New%20cut.pdf Rostam, Nur Aqilah Paskhal (2019) Enhanced Automated Heterogeneous Data Duplication Model Using Parallel Data Compression And Sorting Technique. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2019
url http://eprints.usm.my/48097/1/Formatting%20Final%20Draf%20-%20Corrections%20New%20cut.pdf
http://eprints.usm.my/48097/
_version_ 1690371948325896192
score 13.211869

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