  In this paper, we draw the specifications of a novel benchmark for comparing
parallel processing frameworks in the context of big data applications hosted
in the cloud. We aim at filling several gaps in already existing cloud data
processing benchmarks, which lack a real-life context for their processes, thus
losing relevance when trying to assess performance for real applications.
Hence, we propose a fictitious news site hosted in the cloud that is to be
managed by the framework under analysis, together with several objective use
case scenarios and measures for evaluating system performance. The main
strengths of our benchmark are parallelization capabilities supporting cloud
features and big data properties.
