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.
CITATION STYLE
Alvarez, G. P., & Chau, W. J. (2016). Scenario-aware workload characterization based on a max-plus linear representation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9884 LNCS, pp. 177–194). Springer Verlag. https://doi.org/10.1007/978-3-319-44878-7_11
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