Provided by: Universidad San Francisco de Quito
Topic: Big Data
Date Added: May 2013
Testbeds proposed so far to evaluate, compare, and eventually improve SPARQL query federation systems have still some limitations. Some variables and configurations that may have an impact on the behavior of these systems (e.g., network latency, data partitioning and query properties) are not sufficiently defined; this affects the results and repeatability of independent evaluation studies, and hence the insights that can be obtained from them. In this paper, the authors evaluate FedBench, the most comprehensive testbed up to now, and empirically probe the need of considering additional dimensions and variables.