Cloud Architecture For Plant Phenotyping Research

Debauche, Olivier; Mahmoudi, Sidi; De Cock, Nicolas; Mahmoudi, Said; Manneback, Pierre; Lebeau, Frédéric

doi:10.1002/cpe.5661

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Article (Scientific journals)

Cloud Architecture For Plant Phenotyping Research

Debauche, Olivier; Mahmoudi, Sidi; De Cock, Nicolas et al.

2020 • In Concurrency and Computation: Practice and Experience, 32 (17)

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https://hdl.handle.net/20.500.12907/42123

DOI
10.1002/cpe.5661

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Keywords :

[en] plant phenotyping; [en] cloud architecture; [en] digital phenotyping; [en] research application hosting platform

Abstract :

[en] Digital phenotyping is an emergent science mainly based on imagery techniques. The tremendous amount of data generated needs important cloud computing for their processing. The coupling of recent advance of distributed databases and cloud computing offers new possibilities of big data management and data sharing for the scientific research. In this paper, we present a solution combining a lambda architecture built around Apache Druid and a hosting platform leaning on Apache Mesos. Lambda architecture has already proved its performance and robustness. However, the capacity of ingesting and requesting of the database is essential and can constitute a bottleneck for the architecture, in particular, for in terms of availability and response time of data. We focused our experimentation on the response time of different databases to choose the most adapted for our phenotyping architecture. Apache Druid has shown its ability to respond to typical queries of phenotyping applications in times generally inferior to the second.

Disciplines :

Architecture
Computer science
Electrical & electronics engineering

Author, co-author :

Debauche, Olivier ; Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Mahmoudi, Sidi ; Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

De Cock, Nicolas

Mahmoudi, Said ; Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Manneback, Pierre ; Université de Mons > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Lebeau, Frédéric

Language :

English

Title :

Cloud Architecture For Plant Phenotyping Research

Publication date :

15 November 2020

Journal title :

Concurrency and Computation: Practice and Experience

ISSN :

1532-0626

Publisher :

John Wiley & Sons, Hoboken, United States - New Jersey

Volume :

Issue :

Peer reviewed :

Peer Reviewed verified by ORBi

Research unit :

F114 - Informatique, Logiciel et Intelligence artificielle

Research institute :

R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
R450 - Institut NUMEDIART pour les Technologies des Arts Numériques

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