A Performance Analysis Tool for Scenario-Aware Streaming Applications

Dataflow models are often used for analysing streaming applications. The recently introduced scenario-aware extension of the synchronous dataflow model can capture the dynamism in computation and communication resource requirements of streaming applications that originates from different modes of operation (scenarios). This scenario-aware dataflow model uses a probabilistic approach to express the order in which scenarios (and different execution times within a scenario) occur. This paper discusses a tool for exhaustive and simulation-based analysis of various important performance metrics for scenario-aware streaming applications.

• Type: Conference
• Year: 2007
• Where: QEST
• Authors: Bart D. Theelen
• Keywords: Dataflow Model, QEST 2007, Quantitative Evaluation Of Systems, Scenario-aware Streaming Applications, Synchronous Dataflow Model