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A systematic literature review of skyline query processing over data stream

Recently, skyline query processing over data stream has gained a lot of attention especially from the database community owing to its own unique challenges. Skyline queries aims at pruning a search space of a potential large multi-dimensional set of objects by keeping only those objects that are no...

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Main Authors: Mohamud, Mudathir Ahmed, Ibrahim, Hamidah, Sidi, Fatimah, Rum, Siti Nurulain Mohd, Dzolkhifli, Zarina Binti, Xiaowei, Zhang, Lawal, Ma’aruf Mohammed
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2023
Online Access:http://psasir.upm.edu.my/id/eprint/106787/3/A_Systematic_Literature_Review_of_Skyline_Query_Processing_Over_Data_Stream.pdf
http://psasir.upm.edu.my/id/eprint/106787/
https://ieeexplore.ieee.org/document/10182237/
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spelling my.upm.eprints.1067872024-10-11T08:31:22Z http://psasir.upm.edu.my/id/eprint/106787/ A systematic literature review of skyline query processing over data stream Mohamud, Mudathir Ahmed Ibrahim, Hamidah Sidi, Fatimah Rum, Siti Nurulain Mohd Dzolkhifli, Zarina Binti Xiaowei, Zhang Lawal, Ma’aruf Mohammed Recently, skyline query processing over data stream has gained a lot of attention especially from the database community owing to its own unique challenges. Skyline queries aims at pruning a search space of a potential large multi-dimensional set of objects by keeping only those objects that are not worse than any other. Although an abundance of skyline query processing techniques have been proposed, there is a lack of a Systematic Literature Review (SLR) on current research works pertinent to skyline query processing over data stream. In regard to this, this paper provides a comparative study on the state-of-theart approaches over the period between 2000 and 2022 with the main aim to help readers understand the key issues which are essential to consider in relation to processing skyline queries over streaming data. Seven digital databases were reviewed in accordance with the Preferred Reporting Items for Systematic Reviews (PRISMA) procedures. After applying both the inclusion and exclusion criteria, 23 primary papers were further examined. The results show that the identified skyline approaches are driven by the need to expedite the skyline query processing mainly due to the fact that data streams are time varying (time sensitive), continuous, real time, volatile, and unrepeatable. Although, these skyline approaches are tailored made for data stream with a common aim, their solutions vary to suit with the various aspects being considered, which include the type of skyline query, type of streaming data, type of sliding window, query processing technique, indexing technique as well as the data stream environment employed. In this paper, a comprehensive taxonomy is developed along with the key aspects of each reported approach, while several open issues and challenges related to the topic being reviewed are highlighted as recommendation for future research direction. Institute of Electrical and Electronics Engineers 2023-07-13 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/106787/3/A_Systematic_Literature_Review_of_Skyline_Query_Processing_Over_Data_Stream.pdf Mohamud, Mudathir Ahmed and Ibrahim, Hamidah and Sidi, Fatimah and Rum, Siti Nurulain Mohd and Dzolkhifli, Zarina Binti and Xiaowei, Zhang and Lawal, Ma’aruf Mohammed (2023) A systematic literature review of skyline query processing over data stream. IEEE Access, 11. pp. 72813-72835. ISSN 2169-3536 https://ieeexplore.ieee.org/document/10182237/ 10.1109/access.2023.3295117
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Recently, skyline query processing over data stream has gained a lot of attention especially from the database community owing to its own unique challenges. Skyline queries aims at pruning a search space of a potential large multi-dimensional set of objects by keeping only those objects that are not worse than any other. Although an abundance of skyline query processing techniques have been proposed, there is a lack of a Systematic Literature Review (SLR) on current research works pertinent to skyline query processing over data stream. In regard to this, this paper provides a comparative study on the state-of-theart approaches over the period between 2000 and 2022 with the main aim to help readers understand the key issues which are essential to consider in relation to processing skyline queries over streaming data. Seven digital databases were reviewed in accordance with the Preferred Reporting Items for Systematic Reviews (PRISMA) procedures. After applying both the inclusion and exclusion criteria, 23 primary papers were further examined. The results show that the identified skyline approaches are driven by the need to expedite the skyline query processing mainly due to the fact that data streams are time varying (time sensitive), continuous, real time, volatile, and unrepeatable. Although, these skyline approaches are tailored made for data stream with a common aim, their solutions vary to suit with the various aspects being considered, which include the type of skyline query, type of streaming data, type of sliding window, query processing technique, indexing technique as well as the data stream environment employed. In this paper, a comprehensive taxonomy is developed along with the key aspects of each reported approach, while several open issues and challenges related to the topic being reviewed are highlighted as recommendation for future research direction.
format Article
author Mohamud, Mudathir Ahmed
Ibrahim, Hamidah
Sidi, Fatimah
Rum, Siti Nurulain Mohd
Dzolkhifli, Zarina Binti
Xiaowei, Zhang
Lawal, Ma’aruf Mohammed
spellingShingle Mohamud, Mudathir Ahmed
Ibrahim, Hamidah
Sidi, Fatimah
Rum, Siti Nurulain Mohd
Dzolkhifli, Zarina Binti
Xiaowei, Zhang
Lawal, Ma’aruf Mohammed
A systematic literature review of skyline query processing over data stream
author_facet Mohamud, Mudathir Ahmed
Ibrahim, Hamidah
Sidi, Fatimah
Rum, Siti Nurulain Mohd
Dzolkhifli, Zarina Binti
Xiaowei, Zhang
Lawal, Ma’aruf Mohammed
author_sort Mohamud, Mudathir Ahmed
title A systematic literature review of skyline query processing over data stream
title_short A systematic literature review of skyline query processing over data stream
title_full A systematic literature review of skyline query processing over data stream
title_fullStr A systematic literature review of skyline query processing over data stream
title_full_unstemmed A systematic literature review of skyline query processing over data stream
title_sort systematic literature review of skyline query processing over data stream
publisher Institute of Electrical and Electronics Engineers
publishDate 2023
url http://psasir.upm.edu.my/id/eprint/106787/3/A_Systematic_Literature_Review_of_Skyline_Query_Processing_Over_Data_Stream.pdf
http://psasir.upm.edu.my/id/eprint/106787/
https://ieeexplore.ieee.org/document/10182237/
_version_ 1814054613025816576
score 13.211869

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