Identifying skylines in cloud databases with incomplete data

Skyline queries is a rich area of research in the database community. Due to its great benefits, it has been integrated into many database applications including but not limited to personalized recommendation, multi-objective, decision support and decision-making systems. Many variations of skyline...

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Main Authors:	Gulzar, Yonis, Alwan Aljuboori, Ali Amer, Salleh, Norsaremah, Alshaikhli, Imad Fakhri Taha
Format:	Article
Language:	English English English
Published:	Universiti Utara Malaysia Press 2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://irep.iium.edu.my/68446/ http://irep.iium.edu.my/68446/ http://irep.iium.edu.my/68446/7/68446%20Identifying%20skylines%20in%20cloud%20databases.pdf http://irep.iium.edu.my/68446/8/68446%20Identifying%20skylines%20in%20cloud%20databases%20SCOPUS.pdf http://irep.iium.edu.my/68446/19/68446_Identifying%20skylines%20in%20cloud%20databases_wos.pdf

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recordtype	eprints
spelling	iium-684462019-07-12T08:46:15Z http://irep.iium.edu.my/68446/ Identifying skylines in cloud databases with incomplete data Gulzar, Yonis Alwan Aljuboori, Ali Amer Salleh, Norsaremah Alshaikhli, Imad Fakhri Taha QA75 Electronic computers. Computer science QA76 Computer software Skyline queries is a rich area of research in the database community. Due to its great benefits, it has been integrated into many database applications including but not limited to personalized recommendation, multi-objective, decision support and decision-making systems. Many variations of skyline technique have been proposed in the literature addressing the issue of handling skyline queries in incomplete database. Nevertheless, these solutions are designed to fit with centralized incomplete database (single access). However, in many real-world database systems, this might not be the case, particularly for a database with a large amount of incomplete data distributed over various remote locations such as cloud databases. It is inadequate to directly apply skyline solutions designed for the centralized incomplete database to work on cloud due to the prohibitive cost. Thus, this paper introduces a new approach called Incomplete-data Cloud Skylines (ICS) aiming at processing skyline queries in cloud databases with incomplete data. This approach emphasizes on reducing the amount of data transfer and domination tests during skyline process. It incorporates sorting technique that assists in arranging the data items in a way where dominating data items will be placed at the top of the list helping in eliminate dominated data items. Besides, ICS also employs a filtering technique to prune the dominated data items before applying skyline technique. It comprises a technique named local skyline joiner that helps in reducing the amount of data transfer between datacenters when deriving the final skylines. It limit the amount of data items to be transferred to only those local skylines of each relation. A comprehensive experiment have been performed on both synthetic and real-life datasets, which demonstrate the effectiveness and versatility of our approach in comparison to the current existing approaches. We argue that our approach is practical and can be adopted in many contemporary cloud database systems with incomplete data to process skyline queries. Universiti Utara Malaysia Press 2019-01-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/68446/7/68446%20Identifying%20skylines%20in%20cloud%20databases.pdf application/pdf en http://irep.iium.edu.my/68446/8/68446%20Identifying%20skylines%20in%20cloud%20databases%20SCOPUS.pdf application/pdf en http://irep.iium.edu.my/68446/19/68446_Identifying%20skylines%20in%20cloud%20databases_wos.pdf Gulzar, Yonis and Alwan Aljuboori, Ali Amer and Salleh, Norsaremah and Alshaikhli, Imad Fakhri Taha (2019) Identifying skylines in cloud databases with incomplete data. Journal of Information and Communication Technology, 18 (1). pp. 19-34. ISSN 1675-414X E-ISSN 2180-3862 http://www.jict.uum.edu.my/images/vol18no1jan19/19-34.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QA75 Electronic computers. Computer science QA76 Computer software
spellingShingle	QA75 Electronic computers. Computer science QA76 Computer software Gulzar, Yonis Alwan Aljuboori, Ali Amer Salleh, Norsaremah Alshaikhli, Imad Fakhri Taha Identifying skylines in cloud databases with incomplete data
description	Skyline queries is a rich area of research in the database community. Due to its great benefits, it has been integrated into many database applications including but not limited to personalized recommendation, multi-objective, decision support and decision-making systems. Many variations of skyline technique have been proposed in the literature addressing the issue of handling skyline queries in incomplete database. Nevertheless, these solutions are designed to fit with centralized incomplete database (single access). However, in many real-world database systems, this might not be the case, particularly for a database with a large amount of incomplete data distributed over various remote locations such as cloud databases. It is inadequate to directly apply skyline solutions designed for the centralized incomplete database to work on cloud due to the prohibitive cost. Thus, this paper introduces a new approach called Incomplete-data Cloud Skylines (ICS) aiming at processing skyline queries in cloud databases with incomplete data. This approach emphasizes on reducing the amount of data transfer and domination tests during skyline process. It incorporates sorting technique that assists in arranging the data items in a way where dominating data items will be placed at the top of the list helping in eliminate dominated data items. Besides, ICS also employs a filtering technique to prune the dominated data items before applying skyline technique. It comprises a technique named local skyline joiner that helps in reducing the amount of data transfer between datacenters when deriving the final skylines. It limit the amount of data items to be transferred to only those local skylines of each relation. A comprehensive experiment have been performed on both synthetic and real-life datasets, which demonstrate the effectiveness and versatility of our approach in comparison to the current existing approaches. We argue that our approach is practical and can be adopted in many contemporary cloud database systems with incomplete data to process skyline queries.
format	Article
author	Gulzar, Yonis Alwan Aljuboori, Ali Amer Salleh, Norsaremah Alshaikhli, Imad Fakhri Taha
author_facet	Gulzar, Yonis Alwan Aljuboori, Ali Amer Salleh, Norsaremah Alshaikhli, Imad Fakhri Taha
author_sort	Gulzar, Yonis
title	Identifying skylines in cloud databases with incomplete data
title_short	Identifying skylines in cloud databases with incomplete data
title_full	Identifying skylines in cloud databases with incomplete data
title_fullStr	Identifying skylines in cloud databases with incomplete data
title_full_unstemmed	Identifying skylines in cloud databases with incomplete data
title_sort	identifying skylines in cloud databases with incomplete data
publisher	Universiti Utara Malaysia Press
publishDate	2019
url	http://irep.iium.edu.my/68446/ http://irep.iium.edu.my/68446/ http://irep.iium.edu.my/68446/7/68446%20Identifying%20skylines%20in%20cloud%20databases.pdf http://irep.iium.edu.my/68446/8/68446%20Identifying%20skylines%20in%20cloud%20databases%20SCOPUS.pdf http://irep.iium.edu.my/68446/19/68446_Identifying%20skylines%20in%20cloud%20databases_wos.pdf
first_indexed	2023-09-18T21:37:09Z
last_indexed	2023-09-18T21:37:09Z
_version_	1777412896905494528

Identifying skylines in cloud databases with incomplete data

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