EvoBench – A Framework for Benchmarking Schema Evolution in NoSQL


연구 분야: Databases



학회: 2020 IEEE International Conference on Big Data (Big Data)


초록

Schema evolution is a timeless topic in database research. However, there is only a limited amount of research regarding benchmarking of NoSQL schema evolution systems available. To compare schema evolution systems regarding their overall capabilities and their efficiency to evolve schemas and migrate data, a standardized benchmark is required. In this article, we propose a conceptual framework for a NoSQL schema evolution benchmark with all required components. Beside the benchmark schema and its data sets, we provide the evolution workloads and the metrics as the benchmark's centerpiece in detail.


Author Profile
Mark Lukas Möller

Computer Science Institute University of Rostock Rostock Germany

Germany
Author Profile
Meike Klettke

Computer Science Institute University of Rostock Rostock Germany

Germany
Author Profile
Uta Störl

Computer Science Institute Darmstadt University of Applied Sciences Darmstadt Germany

Germany

📄 논문 정보

발행 연도 2020년
인용수 1
출판 국가 Germany
사이트 IEEE
좋아요 수 0

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