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.
Original language | English |
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Title of host publication | Proceedings of the 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007) 17-19 September 2007, Edinburgh, UK |
Place of Publication | Los Alamitos |
Publisher | IEEE Computer Society |
Pages | 269-270 |
ISBN (Print) | 978-0-7695-2883-0 |
DOIs | |
Publication status | Published - 2007 |
Event | conference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19 - Duration: 17 Sept 2007 → 19 Sept 2007 |
Conference
Conference | conference; QEST 2007, Edinburgh, UK; 2007-09-17; 2007-09-19 |
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Period | 17/09/07 → 19/09/07 |
Other | QEST 2007, Edinburgh, UK |