@inproceedings{908c0ea1689e4633943210d0ac0f03d0,
title = "Chive: A simulation tool for epidemic data replication protocols benchmarking",
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.",
keywords = "Consistency, Epidemic data replication, Performance evaluation, Scalable datastore",
author = "A. Jim{\'e}nez-Y{\'a}{\~n}ez and J. Navarro and Mu{\~n}oz-Esco{\'i}, \{F. D.\} and I. Arrieta-Salinas and Armend{\'a}riz-I{\~n}igo, \{J. E.\}",
year = "2014",
doi = "10.5220/0005107004280436",
language = "English",
series = "ICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications",
publisher = "SciTePress",
pages = "428--436",
editor = "Andreas Holzinger and Therese Libourel and Leszek Maciaszek and Leszek Maciaszek and Stephen Mellor",
booktitle = "ICSOFT-EA 2014 - Proceedings of the 9th International Conference on Software Engineering and Applications",
note = "9th International Conference on Software Engineering and Applications, ICSOFT-EA 2014 ; Conference date: 29-08-2014 Through 31-08-2014",
}