Data transmission is one of the biggest energy consumers in low power networks. So, any application running in such environment must reduce the volume of communication caused by its presence. We want to deploy our database on a wireless sensor network. Therefore, we want to gain insights into the interoperability between routing and application in order to reduce communication costs. To do this, we propose our new benchmark framework in this contribution. Using this benchmark framework, we compare state-of-the-art database indexes and how much traffic they cause in a fully distributed environment. We believe that computing speed shouldn't be the only metric to compare databases with each other.
Sonifications map data to auditory dimensions and offer a new audible experience to their listeners. We propose a sonification of query processing paired with a corresponding visualization both integrated in a web application. In this demonstration we show that the sonification of different types of relational operators generates different sound patterns, which can be recognized and identified by listeners increasing their understanding of the operators' functionality and supports easy remembering of requirements like merge joins work on sorted input. Furthermore, new ways of analyzing query processing are possible with the sonification approach.
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