Abstract
Nowadays software architects face new challenges because Internet has grown to a point where popular websites are accessed by hundreds of millions of people on a daily basis. One powerful machine is no longer economically viable and resilient in order to handle such outstanding traffic and architectures have since been migrated to horizontal scaling. However, traditional databases, usually associated with a relational design, were not ready for horizontal scaling. Therefore, NoSQL databases have proposed to fill the gap left by their predecessors. This new paradigm is proposed to better serve currently massive scaled-up Internet usage when consistency is no longer a top priority and a high available service is preferable. Cassandra is a NoSQL database based on the Amazon Dynamo design. Dynamo-based databases are designed to run in a cluster while offering high availability and eventual consistency to clients when subject to network partition events. Therefore, the main goal of this work is to propose CBench-Dynamo, the first consistency benchmark for NoSQL databases. Our proposed benchmark correlates properties, such as performance, consistency, and availability, in different consistency configurations while subjecting the System Under Test to network partition events.
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Diogo, M., Cabral, B., Bernardino, J. (2020). CBench-Dynamo: A Consistency Benchmark for NoSQL Database Systems. In: Nambiar, R., Poess, M. (eds) Performance Evaluation and Benchmarking for the Era of Cloud(s). TPCTC 2019. Lecture Notes in Computer Science(), vol 12257. Springer, Cham. https://doi.org/10.1007/978-3-030-55024-0_6
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