Hadoop-Benchmark: Rapid Prototyping and Evaluation of Self-Adaptive Behaviors in Hadoop Clusters

Bo Zhang 1, 2 Filip Krikava 3 Romain Rouvoy 1, 2, 4 Lionel Seinturier 1, 2
1 SPIRALS - Self-adaptation for distributed services and large software systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
2 Université de Lille, Sciences et Technologies
3 FIT - Faculty of Information Technology [Prague]
4 IUF - Institut Universitaire de France
Abstract : Optimizing Hadoop executions has attracted a lot of research contributions in particular in the domain of self-adaptive software systems. However, these research efforts are often hindered by the complexity of Hadoop operation and the difficulty to reproduce experimental evaluations that makes it hard to compare different approaches to one another. To address this limitation, we propose a research acceleration platform for rapid prototyping and evaluation of self-adaptive behavior in Hadoop clusters. Essentially, it provides automated approach to provision reproducible Hadoop environments and execute acknowledged benchmarks. It is based on the state-of-the-art container technology that supports both distributed configurations as well as standalone single-host setups. We demonstrate the approach on a complete implementation of a concrete Hadoop self-adaptive case study. The artifact is available at: https://github.com/Spirals-Team/hadoop-benchmark/raw/SEAMS17/artifact.zip
Keywords : Hadoop artefact self-adaptation
Type de document :
Communication dans un congrès
Javier Camara; Bashar Nuseibeh; David Garlan. 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'17), May 2017, Buenos Aires, Argentina. pp.6, Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). 〈https://wp.doc.ic.ac.uk/seams2017〉
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-01475635
Contributeur : Romain Rouvoy <>
Soumis le : jeudi 23 février 2017 - 22:32:04
Dernière modification le : mardi 3 juillet 2018 - 11:35:55

Fichier

seams17.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01475635, version 1

Collections

INRIA | INRIA2017 | CRISTAL-SPIRALS | CRISTAL

Citation

Bo Zhang, Filip Krikava, Romain Rouvoy, Lionel Seinturier. Hadoop-Benchmark: Rapid Prototyping and Evaluation of Self-Adaptive Behaviors in Hadoop Clusters. Javier Camara; Bashar Nuseibeh; David Garlan. 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'17), May 2017, Buenos Aires, Argentina. pp.6, Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS). 〈https://wp.doc.ic.ac.uk/seams2017〉. 〈hal-01475635〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

511

Téléchargements de fichiers

62

Contact


archive-ouverte@inria.fr