Achieving query performance in the cloud via a cost-effective data replication strategy

dc.contributor.author Uras Tos
dc.contributor.author Riad Mokadem
dc.contributor.author Abdelkader Hameurlain
dc.contributor.author Tolga Ayav
dc.contributor.author Hameurlain, Abdelkader
dc.contributor.author Tos, Uras
dc.contributor.author Ayav, Tolga
dc.contributor.author Mokadem, Riad
dc.date APR
dc.date.accessioned 2025-10-06T16:23:27Z
dc.date.issued 2021
dc.description.abstract Meeting performance expectations of tenants without sacrificing economic benefit is a tough challenge for cloud providers. We propose a data replication strategy to simultaneously satisfy both the performance and provider profit. Response time of database queries is estimated with the consideration of parallel execution. If the estimated response time is not acceptable bottlenecks are identified in the query plan. Data replication is realized to resolve the bottlenecks. Data placement is heuristically performed in a way to satisfy query response times at a minimal cost for the provider. We demonstrate the validity of our strategy in a performance evaluation study.
dc.description.sponsorship Scientific and Technological Research Council of Turkey (TuBTAK); French Ministry of Europe and Foreign Affairs (MEFA); French Ministry of Higher Education, Research and Innovation (MHERI); Amadeus Program 2020 (French-Austrian Hubert Curien Partnership-PHC) [44086TD]
dc.description.sponsorship The work presented in this paper is supported in part by the Scientific and Technological Research Council of Turkey (TÜBİTAK). This work is also supported in part by the French Ministries of Europe and Foreign Affairs (MEFA) and of Higher Education, Research and Innovation (MHERI) and Amadeus Program 2020 (French-Austrian Hubert Curien Partnership—PHC) Grant Number 44086TD.
dc.description.sponsorship Amadeus Program 2020, (44086TD); French Ministries of Europe and Foreign Affairs; Higher Education, Research and Innovation; MEFA; MHERI; TÜBİTAK; Providence Health Care, PHC; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK
dc.identifier.doi 10.1007/s00500-020-05544-w
dc.identifier.issn 1432-7643
dc.identifier.issn 1433-7479
dc.identifier.scopus 2-s2.0-85102353113
dc.identifier.uri http://dx.doi.org/10.1007/s00500-020-05544-w
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/7831
dc.identifier.uri https://doi.org/10.1007/s00500-020-05544-w
dc.language.iso English
dc.publisher SPRINGER
dc.relation.ispartof Soft Computing
dc.rights info:eu-repo/semantics/closedAccess
dc.source SOFT COMPUTING
dc.subject Cloud computing, Database query, Data replication, Performance, Profit
dc.subject RESPONSE-TIME ESTIMATION, MANAGEMENT, AWARE, ENVIRONMENTS, OPTIMIZATION, EFFICIENT, SYSTEMS
dc.subject Database Query
dc.subject Performance
dc.subject Cloud Computing
dc.subject Data Replication
dc.subject Profit
dc.title Achieving query performance in the cloud via a cost-effective data replication strategy
dc.type Article
dspace.entity.type Publication
gdc.author.id Tos, Uras/0000-0003-3578-6069
gdc.author.id Mokadem, Riad/0000-0003-3325-7331
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gdc.author.scopusid 13408184500
gdc.author.scopusid 6602819261
gdc.author.wosid Ayav, Tolga/B-6369-2012
gdc.author.wosid HAMEURLAIN, Abdelkader/LQL-0402-2024
gdc.author.wosid Mokadem, Riad/LQK-5719-2024
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department
gdc.description.departmenttemp [Tos, Uras] Yasar Univ, Dept Software Engn, TR-35100 Izmir, Turkey; [Mokadem, Riad; Hameurlain, Abdelkader] Paul Sabatier Univ, Inst Rech Informat Toulouse IRIT, 118 Route Narbonne, F-31062 Toulouse, France; [Ayav, Tolga] Izmir Inst Technol, Dept Comp Engn, TR-35430 Izmir, Turkey
gdc.description.endpage 5454
gdc.description.issue 7
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 5437
gdc.description.volume 25
gdc.description.woscitationindex Science Citation Index Expanded
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gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 12.0
gdc.oaire.influence 2.8321452E-9
gdc.oaire.isgreen true
gdc.oaire.keywords [INFO.INFO-DC]Computer Science [cs]/Distributed
gdc.oaire.keywords [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]
gdc.oaire.keywords [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
gdc.oaire.keywords and Cluster Computing [cs.DC]
gdc.oaire.keywords Parallel
gdc.oaire.keywords 004
gdc.oaire.popularity 1.0327746E-8
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration International
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gdc.opencitations.count 12
gdc.plumx.crossrefcites 5
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gdc.scopus.citedcount 18
gdc.virtual.author Tos, Uras
gdc.wos.citedcount 15
oaire.citation.endPage 5454
oaire.citation.startPage 5437
person.identifier.orcid Mokadem- Riad/0000-0003-3325-7331, Tos- Uras/0000-0003-3578-6069,
project.funder.name Scientific and Technological Research Council of Turkey (TuBTAK), French Ministry of Europe and Foreign Affairs (MEFA), French Ministry of Higher Education- Research and Innovation (MHERI), Amadeus Program 2020 (French-Austrian Hubert Curien Partnership-PHC) [44086TD]
publicationissue.issueNumber 7
publicationvolume.volumeNumber 25
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