Dynamic Replication and Deployment of Services in Mobile Environments

Guerrero-Contreras, Gabriel; Rodríguez-Domínguez, Carlos; Balderas-Díaz, Sara; Garrido, José Luis García

doi:10.1007/978-3-319-16486-1_85

“…Data replication is a well-known technique that aims to increase data availability, reduce bandwidth consumption and achieve fault-tolerance. It has been commonly used in: (i) Database Management Systems (DBMS) (Pérez et al, 2010;Tos et al, 2021), (ii) parallel and distributed systems (Benoit and Rehn-Sonigo, 2008), (iii) mobile systems (Guerrero-Contreras et al, 2015) and (vi) large scale systems, including P2P (Spaho et al, 2015) and data Grid systems (Tos et al, 2015). However, data replication strategies proposed for these systems are difficult to adapt to cloud systems.…”

Section: Introductionmentioning

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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“…Data replication is a well-known technique that aims to increase data availability, reduce bandwidth consumption and achieve fault-tolerance. It has been commonly used in: (i) Database Management Systems (DBMS) (Pérez et al, 2010;Tos et al, 2021), (ii) parallel and distributed systems (Benoit and Rehn-Sonigo, 2008), (iii) mobile systems (Guerrero-Contreras et al, 2015) and (vi) large scale systems, including P2P (Spaho et al, 2015) and data Grid systems (Tos et al, 2015). However, data replication strategies proposed for these systems are difficult to adapt to cloud systems.…”

Section: Introductionmentioning

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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“…Data replication has been around for decades that addresses these issues as well as providing other benefits. Data replication has been studied in many traditional systems, including (i) database management systems (DBMS) [14], (ii) parallel and distributed systems [23], (iii) mobile systems [11] and (iv) other large-scale systems including P2P [31] and data grid systems [35].…”

Section: Introductionmentioning

confidence: 99%

Ensuring performance and provider profit through data replication in cloud systems

Tos

¹

,

Mokadem

²

,

Hameurlain

³

et al. 2017

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Cloud computing is a relatively recent computing paradigm that is often the answer for dealing with large amounts of data. Tenants expect the cloud providers to keep supplying an agreed upon quality of service, while cloud providers aim to increase profits as it is a key ingredient of any economic enterprise. In this paper, we propose a data replication strategy for cloud systems that satisfies the response time objective for executing queries while simultaneously enables the provider to return a profit from each execution. The proposed strategy estimates the response time of the queries and performs data replication in a way that the execution of any particular query is still estimated to be profitable for the provider. We show with simulations that how the proposed strategy fulfills these two criteria.

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Dynamic Replication and Deployment of Services in Mobile Environments

Cited by 7 publications

References 12 publications

A review on data replication strategies in cloud systems

A review on data replication strategies in cloud systems

A review on data replication strategies in cloud systems

Ensuring performance and provider profit through data replication in cloud systems

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