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PolyBench: The First Benchmark for Polystores

机译:PolyBench:Polystores的第一个基准

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摘要

Modern business intelligence requires data processing not only across a huge variety of domains but also across different paradigms, such as relational, stream, and graph models. This variety is a challenge for existing systems that typically only support a single or few different data models. Polystores were proposed as a solution for this challenge and received wide attention both in academia and in industry. These are systems that integrate different specialized data processing engines to enable fast processing of a large variety of data models. Yet, there is no standard to assess the performance of polystores. The goal of this work is to develop the first benchmark for polystores. To capture the flexibility of polystores, we focus on high level features in order to enable an execution of our benchmark suite on a large set of polystore solutions.
机译:现代商业智能不仅需要跨多个领域的数据处理,还需要跨关系,流和图形模型等不同范式的数据处理。对于通常仅支持单个或少量不同数据模型的现有系统而言,这种多样性是一个挑战。提出了将杂货店作为应对这一挑战的解决方案,并在学术界和工业界引起了广泛关注。这些系统集成了不同的专用数据处理引擎,可以快速处理各种数据模型。但是,没有标准来评估综合商店的绩效。这项工作的目的是为百货商店建立第一个基准。为了获得综合商店的灵活性,我们专注于高级功能,以便能够在大量的综合商店解决方案上执行我们的基准套件。

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