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- W2016640285 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." @default.
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- W2016640285 date "2014-01-01" @default.
- W2016640285 modified "2023-09-27" @default.
- W2016640285 title "Chive: A Simulation Tool for Epidemic Data Replication Protocols Benchmarking" @default.
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- W2016640285 doi "https://doi.org/10.5220/0005107004280436" @default.
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