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Authors: A. Jiménez-Yáñez 1 ; J. Navarro 2 ; F. D. Muñoz-Escoí 3 ; I. Arrieta-Salinas 1 and J. E. Armendáriz-Iñigo 1

Affiliations: 1 Universidad Pública de Navarra, Spain ; 2 Ramon Llull University, Spain ; 3 Univ. PolitÉcnica de València, Spain

Keyword(s): Scalable Datastore, Epidemic Data Replication, Performance Evaluation, Consistency.

Related Ontology Subjects/Areas/Topics: Cloud Applications ; Communication Networks and Protocols ; Distributed and Mobile Software Systems ; Distributed Architectures ; Software Engineering

Abstract: Epidemic data replication protocols are an interesting approach to address the scalability limitations of classic distributed databases. However, devising a system layout that takes full advantage of epidemic replication is a challenging task due to the high number of associated configuration parameters (e.g., replication layers, number of replicas per layer, etc.). The purpose of this paper is to present a Java-based simulation tool that simulates the execution of epidemic data replication protocols on user-defined configurations under different workloads. Conducted experiments show that by using the proposed approach (1) the internal dynamics of epidemic data replication protocols under a specific scenario are better understood, (2) the distributed database system design process is considerably speeded up, and (3) different system configurations can be rapidly prototyped.

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Paper citation in several formats:
Jiménez-Yáñez, A.; Navarro, J.; Muñoz-Escoí, F.; Arrieta-Salinas, I. and Armendáriz-Iñigo, J. (2014). Chive: A Simulation Tool for Epidemic Data Replication Protocols Benchmarking. In Proceedings of the 9th International Conference on Software Engineering and Applications - ICSOFT-EA, (ICSOFT 2014) ISBN 978-989-758-036-9, pages 428-436. DOI: 10.5220/0005107004280436

@conference{icsoft-ea14,
author={A. Jiménez{-}Yáñez. and J. Navarro. and F. D. Muñoz{-}Escoí. and I. Arrieta{-}Salinas. and J. E. Armendáriz{-}Iñigo.},
title={Chive: A Simulation Tool for Epidemic Data Replication Protocols Benchmarking},
booktitle={Proceedings of the 9th International Conference on Software Engineering and Applications - ICSOFT-EA, (ICSOFT 2014)},
year={2014},
pages={428-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005107004280436},
isbn={978-989-758-036-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Software Engineering and Applications - ICSOFT-EA, (ICSOFT 2014)
TI - Chive: A Simulation Tool for Epidemic Data Replication Protocols Benchmarking
SN - 978-989-758-036-9
AU - Jiménez-Yáñez, A.
AU - Navarro, J.
AU - Muñoz-Escoí, F.
AU - Arrieta-Salinas, I.
AU - Armendáriz-Iñigo, J.
PY - 2014
SP - 428
EP - 436
DO - 10.5220/0005107004280436