Demo: Interactive Performance Exploration of Stream Processing Applications Using Colored Petri Nets.

Stream processing is becoming increasingly important as the amount of data being produced, transmitted, processed, and stored continues to grow. One of the greatest difficulties in designing stream processing applications is estimating the final runtime performance in production. This is often complicated by differences between the development and final execution environments, unexpected outliers in the incoming data, or subtle long-term problems such as congestion due to bottlenecks in the pipeline. In this demonstration, we present an automated tool workflow for interactively simulating and exploring the performance characteristics of a stream processing pipeline in real-time. Changes to input data, pipeline structure, or operator configurations during the simulation are immediately reflected in the simulation results, allowing to interactively explore the robustness of the pipeline to outliers, changes in input data, or long-term effects.