Tempo

Tan, Zilong; Babu, Shivnath

doi:10.14778/2977797.2977799

“…This system aims to map specific interfaces of the individual systems regardless of their individual differences; thus, interoperability. In a similar work conducted by Tan et al [62], an interface known as Tempo was created for DBAs to have a simpler way of specifying performance objectives and optimize Resource Manager Configurations. This is to optimize job processing time allocations and make sure deadlines are not missed.…”

Section: Overview Of the Nosql Databasesmentioning

confidence: 99%

DSP: Schema Design for Non-Relational Applications

Imam

¹

,

Basri

²

,

Ahmad

³

et al. 2020

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The way a database schema is designed has a high impact on its performance in relational databases, which are symmetric in nature. While the problem of schema optimization is even more significant for NoSQL (“Not only SQL”) databases, existing modeling tools for relational databases are inadequate for this asymmetric setting. As a result, NoSQL modelers rely on rules of thumb to model schemas that require a high level of competence. Several studies have been conducted to address this problem; however, they are either proprietary, symmetrical, relationally dependent or post-design assessment tools. In this study, a Dynamic Schema Proposition (DSP) model for NoSQL databases is proposed to handle the asymmetric nature of today’s data. This model aims to facilitate database design and improve its performance in relation to data availability. To achieve this, data modeling styles were aggregated and classified. Existing cardinality notations were empirically extended using synthetically generated queries. A binary integer formulation was used to guide the mapping of asymmetric entities from the application’s conceptual data model to a database schema. An experiment was conducted to evaluate the impact of the DSP model on NoSQL schema production and its performance. A profound improvement was observed in read/write query performance and schema production complexities. In this regard, DSP has significant potential to produce schemas that are capable of handling big data efficiently.

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“…Most of the strategies described here focus on reducing the consumption of the required resources during data replication without taking into account the economic cost of replication (Bai et al, 2013;Dabas and Aggarwal, 2019;Edwin et al, 2019;Kumar et al, 2014;Lee et al, 2015;Long et al, 2014;Liu et al, 2013;Mansouri and Javidi, 2018;Pu et al, 2015;Sakr et al, 2011;Tan and Babu, 2016;Wei et al, 2010) . Most of them were interested in finding the optimal number of replicas (He et al, 2018) or replica placement (Zhang et al, 2015) because of their effects on performance.…”

Section: Replication Strategies Without Taking Into Account the Econo...mentioning

confidence: 99%

A review on data replication strategies in cloud systems

Mokadem

¹

,

Martinez‐Gil

²

,

Hameurlain

³

et al. 2022

IJGUC

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Data replication constitutes an important issue in Cloud data management. In this context, a significant number of replication strategies have been proposed for Cloud systems. Most of the studies in the literature have classified these strategies into static vs. dynamic or centralised vs. decentralised strategies. In this paper, we propose a new classification of data replication strategies in Cloud systems. It takes into account several other criteria, specific to Cloud environments: (i) the orientation of the profit, (ii) the considered objective function, (iii) the number of tenant objectives, (iv) the nature of the Cloud environment and (v) the consideration of economic costs. Dealing with the last criterion, we focus on the provider's economic profit and the consideration of energy consumption by the provider. Finally, the impact of some important factors is investigated in a simulation study.

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“…Most of the strategies described here focus on reducing the consumption of the required resources during data replication without taking into account the economic cost of replication (Bai et al, 2013;Dabas and Aggarwal, 2019;Edwin et al, 2019;Kumar et al, 2014;Lee et al, 2015;Long et al, 2014;Liu et al, 2013;Mansouri and Javidi, 2018;Pu et al, 2015;Sakr et al, 2011;Tan and Babu, 2016;Wei et al, 2010) . Most of them were interested in finding the optimal number of replicas (He et al, 2018) or replica placement (Zhang et al, 2015) because of their effects on performance.…”

Section: Replication Strategies Without Taking Into Account the Econo...mentioning

confidence: 99%

A review on data replication strategies in cloud systems

Hameurlain¹,

Kueng²,

Mokadem³

et al. 2022

IJGUC

View full text Add to dashboard Cite

Data replication constitutes an important issue in Cloud data management. In this context, a significant number of replication strategies have been proposed for Cloud systems. Most of the studies in the literature have classified these strategies into static vs. dynamic or centralised vs. decentralised strategies. In this paper, we propose a new classification of data replication strategies in Cloud systems. It takes into account several other criteria, specific to Cloud environments: (i) the orientation of the profit, (ii) the considered objective function, (iii) the number of tenant objectives, (iv) the nature of the Cloud environment and (v) the consideration of economic costs. Dealing with the last criterion, we focus on the provider's economic profit and the consideration of energy consumption by the provider. Finally, the impact of some important factors is investigated in a simulation study.

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Tempo

Cited by 20 publications

References 38 publications

DSP: Schema Design for Non-Relational Applications

DSP: Schema Design for Non-Relational Applications

A review on data replication strategies in cloud systems

A review on data replication strategies in cloud systems

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