Current quantitative evaluations in various research areas for publish/
subscribe systems use artificially created event messages to model the system
workload. The assumptions made to create these workloads are rather strong and
hardly ever described in detail. This does not allow for a repetition of experiments
or comparative evaluations of different approaches by different researches.
In this paper, we present an evaluation of the distributions of the values of attributes
typically used in online auction scenarios. In particular, we focus on auctions
of fiction books. We further show our approach of creating event messages
by the help of the gained information. Publishing this information on how to
create a typical workload for online auctions should allow for the repetition of experiments
and the comparison of different evaluations.
