A Predictive Multi-Tenant Database Migration and Replication in the Cloud Environment

Raouf, Ahmed E. Abdel; Abo-Alian, Alshaimaa; Badr, Nagwa L.

doi:10.1109/access.2021.3126582

Cited by 7 publications

(11 citation statements)

References 35 publications

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“…Adjusting the replica number was performed mainly by the creation of replicas when needed and the removal of unnecessary replicas. 78,87,89,90,116 The replicas selection issue is addressed by routing and scheduling the users' task to the replicas while considering load and bandwidth conditions. 27,30,83 However, the issue of replica replacement receives little attention.…”

Section: Addressed Replication Issuesmentioning

confidence: 99%

“…In this respect, the replication strategies are triggered in accordance with the values of these thresholds. 20,30,39,40,64,68,83,89,91,118,128,129 Some strategies consider response time as the SLO to be achieved for each tenant. 68,[87][88][89] These strategies rely on prediction models and they are triggered based on an estimated value of response time.…”

Section: Response Timementioning

confidence: 99%

“…20,30,39,40,64,68,83,89,91,118,128,129 Some strategies consider response time as the SLO to be achieved for each tenant. 68,[87][88][89] These strategies rely on prediction models and they are triggered based on an estimated value of response time. While the strategies presented in References 20,64,91,118, and 129 consider the replication only if the estimated response time of the tenant task is greater than the response time threshold specified in the SLA.…”

Section: Response Timementioning

confidence: 99%

“…It is critical for cloud providers to reduce SLA violations while minimizing replication costs. 20,60,63,64,66,75,[85][86][87]89,94,95,128,133 Data replication strategies are mostly provider-centric compared to consumer-centric strategies, where most strategies consider the provider to be the entity responsible for operating the system and performing replication operations. Most of the strategies focus on reducing the replication cost.…”

Section: Provider-centric Cost Considerationmentioning

confidence: 99%

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Review on data replication strategies in single vs. interconnected cloud systems: Focus on data correlation‐aware strategies

Hamrouni

Mokadem

Khelifa

2023

Concurrency and Computation

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SummaryData replication is a well‐known technique in cloud systems for enhancing availability and performance. Various strategies and surveys have been proposed in this respect. These surveys include comprehensive analysis and classifications. However, to the best of the authors' knowledge, there is no survey concentrating on strategies designed for interconnected cloud systems. In this article, we provide an in‐depth analysis of existing data replication strategies in cloud systems, covering single and interconnected clouds. We also highlight data correlation‐aware strategies as well as their key steps. Furthermore, we examine the major strategies' features such as: () addressed replication issues, () orientation towards the provider and the consumer, () consideration of the service level agreement, () consideration of cost and economic aspects, and () evaluation tools. Finally, we provide a performance analysis through extensive simulations of several replication strategies dedicated for single and interconnected clouds.

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Section: Addressed Replication Issuesmentioning

confidence: 99%

Section: Response Timementioning

confidence: 99%

Section: Response Timementioning

confidence: 99%

Section: Provider-centric Cost Considerationmentioning

confidence: 99%

See 2 more Smart Citations

Review on data replication strategies in single vs. interconnected cloud systems: Focus on data correlation‐aware strategies

Hamrouni

Mokadem

Khelifa

2023

Concurrency and Computation

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“…Although the container does interconnect between the physical database and instance, if any instance fails, the workload manager automatically routes the survivors ensuring availability and reliability of the whole solution model. From the performance perspective, the relevant model is also sharded database introduced in 2017 [25], providing linear scalability, fault tolerance, and geographic data distribution by using horizontal fragmentation across multiple regions [23,26,27]. It is shown in Fig.…”

Section: Database Infrastructurementioning

confidence: 99%

The Complexity of the Data Retrieval Process Using the Proposed Index Extension

Kvet

Papán²

2022

IEEE Access

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Data retrieval, access, and tuple identification are inevitable in database processing, ensuring performance. The entities and relationships form a relational database. Data themselves are not specifically formatted, requiring sequential data block scanning if the particular index is unavailable. This paper summarizes existing indexing principles focusing on the B+tree, which forms the default structure for data access based on the index key. Such design is reliable and prone to an increase in the amount of data. However, it cannot manage undefined values properly, whereas they cannot be mathematically compared. Secondly, migrated rows can be present due to the size demand extension after the update operation. Thirdly, the index is always balanced, resulting in additional demands of the transaction. All these factors are covered by the proposed paper, discussing the limitations, opportunities, and own solutions to improve the performance. Several architectures are discussed, maintained, and computationally studied, focusing on the size demands, processing time, and costs. By using proposed techniques, significant improvements can be reached. A pointer list is introduced for migrated row management to reference the index set from the data block and store reference path or using a data reflector. When dealing with transaction support, index management and rebalancing are shifted to the separate autonomous transaction. Thanks to that, the main transaction can be approved sooner with no reliability issues. Finally, the proposed paper introduces the NULL value management structure in the instance memory for the index node reference.

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Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism

et al. 2022

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A Predictive Multi-Tenant Database Migration and Replication in the Cloud Environment

Cited by 7 publications

References 35 publications

Review on data replication strategies in single vs. interconnected cloud systems: Focus on data correlation‐aware strategies

Review on data replication strategies in single vs. interconnected cloud systems: Focus on data correlation‐aware strategies

The Complexity of the Data Retrieval Process Using the Proposed Index Extension

Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism

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