A Performance Analysis Tool for Scenario-Aware Streaming Applications

Authors:
B. D. Theelen
Affiliations:
Eindhoven University of Technology, The Netherlands
Venue:
QEST '07 Proceedings of the Fourth International Conference on Quantitative Evaluation of Systems
Year:
2007

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Abstract

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.