Abstract
This paper describes an event analytical model for the workload characterization of multimedia applications with several scenarios of operation. This model describes the application tasks as timed actors of a Scenario-Aware Dataflow Graph (SADF), so that the multiple application scenarios are defined in terms of the variable execution times previously identified in the timing characterization of every application task. A Max-Plus linear representation between the input and output event sequences of the SADF Graph states the basis of a model of scenario-based workload curves and a model of scenario-based service curves that allow to characterize the behavioral dynamism of the application in its design phase. By a detailed study, we show the applicability of our model for the performance evaluation of a multimedia application, whose tasks are implemented in general purpose processors.
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The given work was supported by CAPES (in Brazil), University of São Paulo (USP), and by CODI at the University of Antioquia (UdeA).
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Alvarez, G.P., Chau, W.J. (2016). Scenario-Aware Workload Characterization Based on a Max-Plus Linear Representation. In: Fränzle, M., Markey, N. (eds) Formal Modeling and Analysis of Timed Systems. FORMATS 2016. Lecture Notes in Computer Science(), vol 9884. Springer, Cham. https://doi.org/10.1007/978-3-319-44878-7_11
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