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Authors: Michel Albonico 1 ; Jean-Marie Mottu 2 ; Gerson Sunyé 2 and Frederico Alvares 3

Affiliations: 1 Federal Technological University of Parana, AtlanModels Team (Inria, IMT-A and LS2N), Brazil ; 2 AtlanModels Team (Inria, IMT-A and LS2N), France ; 3 Ascola Team (Inria, IMT-A and LS2N), France

Keyword(s): Cloud Computing, Elasticity, Elasticity Testing, Controllability, Reproducibility.

Abstract: Elastic Cloud infrastructures are capable of dynamically varying computational resources at large scale, which is error-prone by nature. Elasticity-related errors are detected thanks to tests that should run deterministically many times all along the development. However, elasticity testing reproduction requires several features not supported natively by the main cloud providers, such as Amazon EC2. We identify three requirements that we claim to be indispensable to ensure elasticity testing reproducibility: to control the elasticity behavior, to select specific resources to be unallocated, and coordinate events parallel to elasticity. In this paper, we propose an approach fulfilling those requirements and making the elasticity testing reproducible. Experimental results show that our approach successfully reproduces elasticity-related bugs that need the requirements we claim in this paper.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Albonico, M.; Mottu, J.; Sunyé, G. and Alvares, F. (2017). Making Cloud-based Systems Elasticity Testing Reproducible. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 523-530. DOI: 10.5220/0006308905230530

@conference{closer17,
author={Michel Albonico. and Jean{-}Marie Mottu. and Gerson Sunyé. and Frederico Alvares.},
title={Making Cloud-based Systems Elasticity Testing Reproducible},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={523-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006308905230530},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - Making Cloud-based Systems Elasticity Testing Reproducible
SN - 978-989-758-243-1
IS - 2184-5042
AU - Albonico, M.
AU - Mottu, J.
AU - Sunyé, G.
AU - Alvares, F.
PY - 2017
SP - 523
EP - 530
DO - 10.5220/0006308905230530
PB - SciTePress