Performance Analysis of Multimedia Applications using Correlated Streams

In modern embedded systems, data streams are often partitioned into separate sub-streams which are processed on parallel hardware components. To analyze the performance of these systems with high accuracy, correlations between event streams must be taken into account. No methods are known so far that are able to model such a scenario with the desired accuracy. In this paper, we present a new approach to analyze correlations and we embed this analysis method into a well-established modular performance analysis framework. The presented approach enables system-level performance analysis of complete systems by taking into account stream correlations and blocking-read semantics. Experimental results on a hardware-software prototyping system are provided that show the accuracy of the analysis in a practical application