FedBench: A Benchmark Suite for Federated Semantic Data Query Processing

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Provided by: University of Klagenfurt
Topic: Big Data
Format: PDF
In this paper, the authors present FedBench, a comprehensive benchmark suite for testing and analyzing the performance of federated query processing strategies on semantic data. The major challenge lies in the heterogeneity of semantic data use cases, where applications may face different settings at both the data and query level, such as varying data access interfaces, incomplete knowledge about data sources, availability of different statistics, and varying degrees of query expressiveness. Accounting for this heterogeneity, they present a highly flexible benchmark suite, which can be customized to accommodate a variety of use cases and compare competing approaches.
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