Uras TosRiad MokademAbdelkader HameurlainTolga Ayav2025-10-06202114327643, 143374791432-76431433-747910.1007/s00500-020-05544-whttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85102353113&doi=10.1007%2Fs00500-020-05544-w&partnerID=40&md5=57bc39745b0ff0b93e210bc916309342https://gcris.yasar.edu.tr/handle/123456789/8992Meeting 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.EnglishCloud 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 ProcessingCost effectiveness, Query languages, Cloud providers, Data replication, Database queries, Economic benefits, Evaluation study, Parallel executions, Performance expectations, Query performance, Query processingArticle