A Benchmark Suite for Federated SPARQL Query Processing from Existing Workflows
Troumpoukis, Antonis, Charalambidis, Angelos, Mouchakis, Giannis, Konstantopoulos, Stasinos, Digles, Daniela, Siebes, Ronald, de Boer, Victor, Soiland-Reyes, Stian; id_orcid 0000-0001-9842-9718 · Research Explorer (The University of Manchester) · 2017
This paper presents a new benchmark suite for SPARQL query processors. The benchmark is derived from workflows established by the pharmacology community and exploits the fact that these workflows are not only applied to voluminous data, but they are also equivalent to complex and challenging queries. The value of this queryset is that it realistically represents actual community needs in a challenging domain, testing not only speed and robustness to large data volumes but also all features of modern query processing systems. In addition, the natural partitioning of the data into meaningful datasets makes these workflows ideal for benchmarking *federated* query processors. This emphasis on federated query processing drived complementing the benchmark with an execution engine that can reproduce distributed and federated query processing experiments.