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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.07833 |
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| _version_ | 1866918157166313472 |
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| author | Bernardin, Santatra Hagamalala Mokadem, Riad Morvan, Franck Ramanana, Hasinarivo Rakotoarivelo, Hasimandimby |
| author_facet | Bernardin, Santatra Hagamalala Mokadem, Riad Morvan, Franck Ramanana, Hasinarivo Rakotoarivelo, Hasimandimby |
| contents | Multi-cloud computing systems face significant challenges in ensuring acceptable performance while adhering to tenant budget requirements. This paper proposes a tenant budget-aware (tenant-centric) data replication framework for Multi-Cloud Computing (TCDRM). The proposed strategy dynamically creates data replicas based on predefined thresholds for response time, economic budget of the tenant and data popularity. TCDRM employs a heuristic replica placement algorithm that leverages the diverse pricing structures of multiple cloud providers. The TCDRM strategy aims to maintain the required performance without exceeding the tenant's budget by taking advantage of the capabilities offered by multicloud environments. The middleware considered acts as an intermediary between tenants and multiple cloud providers, facilitating intelligent replica placement decisions. To achieve this, the proposed TCDRM strategy defines strict thresholds for tenant budget and response time. A performance evaluation is conducted to validate the effectiveness of the strategy. The results show that our approach effectively meets tenant performance objectives while respecting their economic constraints. Bandwidth consumption is reduced by up to 78% compared to non-replicated approaches, and average response time for complex queries is decreased by 51%, all while adhering to tenant budget limitations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_07833 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | TCDRM: A Tenant Budget-Aware Data Replication Framework for Multi-Cloud Computing Bernardin, Santatra Hagamalala Mokadem, Riad Morvan, Franck Ramanana, Hasinarivo Rakotoarivelo, Hasimandimby Databases Multi-cloud computing systems face significant challenges in ensuring acceptable performance while adhering to tenant budget requirements. This paper proposes a tenant budget-aware (tenant-centric) data replication framework for Multi-Cloud Computing (TCDRM). The proposed strategy dynamically creates data replicas based on predefined thresholds for response time, economic budget of the tenant and data popularity. TCDRM employs a heuristic replica placement algorithm that leverages the diverse pricing structures of multiple cloud providers. The TCDRM strategy aims to maintain the required performance without exceeding the tenant's budget by taking advantage of the capabilities offered by multicloud environments. The middleware considered acts as an intermediary between tenants and multiple cloud providers, facilitating intelligent replica placement decisions. To achieve this, the proposed TCDRM strategy defines strict thresholds for tenant budget and response time. A performance evaluation is conducted to validate the effectiveness of the strategy. The results show that our approach effectively meets tenant performance objectives while respecting their economic constraints. Bandwidth consumption is reduced by up to 78% compared to non-replicated approaches, and average response time for complex queries is decreased by 51%, all while adhering to tenant budget limitations. |
| title | TCDRM: A Tenant Budget-Aware Data Replication Framework for Multi-Cloud Computing |
| topic | Databases |
| url | https://arxiv.org/abs/2510.07833 |