SmartSlog knowledge patterns: Initial experimental performance evaluation

The Smart-M3 platform allows prototyping and experimenting with various smart space applications. The performance problem of such applications and the level of automation in the development process is, however, in its early phase. In this paper, we evaluate the knowledge pattern mechanism that the SmartSlog SDK provides for Smart-M3 applications. On one hand, the mechanism allows writing compact code to implement advanced search queries to the smart space. On the other hand, high-level mechanisms are for the cost of performance; it can essentially degrade when the size of search problem grows. Therefore, a tradeoff has to be determined. Our initial experimental study considers a worst case model of the knowledge pattern mechanism and we provide empirical performance upper bounds.