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.date.accessioned | 2025-10-06T17:50:33Z | |
| 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. © 2021 Elsevier B.V. All rights reserved. | |
| dc.identifier.doi | 10.1007/s00500-020-05544-w | |
| dc.identifier.issn | 14327643, 14337479 | |
| dc.identifier.issn | 1432-7643 | |
| dc.identifier.issn | 1433-7479 | |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102353113&doi=10.1007%2Fs00500-020-05544-w&partnerID=40&md5=57bc39745b0ff0b93e210bc916309342 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/8992 | |
| dc.language.iso | English | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | |
| dc.relation.ispartof | Soft Computing | |
| dc.source | Soft Computing | |
| dc.subject | Cloud Computing, Data Replication, Database Query, Performance, Profit, Cost Effectiveness, Query Languages, Cloud Providers, Data Replication, Database Queries, Economic Benefits, Evaluation Study, Parallel Executions, Performance Expectations, Query Performance, Query Processing | |
| dc.subject | Cost effectiveness, Query languages, Cloud providers, Data replication, Database queries, Economic benefits, Evaluation study, Parallel executions, Performance expectations, Query performance, Query processing | |
| dc.title | Achieving query performance in the cloud via a cost-effective data replication strategy | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
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| gdc.description.endpage | 5454 | |
| gdc.description.startpage | 5437 | |
| gdc.description.volume | 25 | |
| gdc.identifier.openalex | W3120335745 | |
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| 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 | |
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| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
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| gdc.opencitations.count | 12 | |
| gdc.plumx.crossrefcites | 5 | |
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| oaire.citation.endPage | 5454 | |
| oaire.citation.startPage | 5437 | |
| person.identifier.scopus-author-id | Tos- Uras (53880487300), Mokadem- Riad (23397798800), Hameurlain- Abdelkader (6602819261), Ayav- Tolga (13408184500) | |
| project.funder.name | 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. | |
| publicationissue.issueNumber | 7 | |
| publicationvolume.volumeNumber | 25 | |
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