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Modern multiprocessor streaming systems have hard real-time constraints that must be always met to ensure correct functionality. At the same time, these streaming systems must be designed to use the minimum required amount of resources (such as processors and memory). In order to meet such constraints, using scheduling algorithms from the classical real-time scheduling theory represents an attractive...
Embedded streaming applications specified using parallel Models of Computation (MoC) often contain ample amount of parallelism which can be exploited using Multi-Processor System-on-Chip (MPSoC) platforms. It has been shown that the various forms of parallelism in an application should be explored to achieve the maximum system performance. However, if more parallelism is revealed than needed, it will...
In this paper, we consider the problem of hard-real-time (HRT) multiprocessor scheduling of embedded streaming applications modeled as acyclic dataflow graphs. Most of the hard-real-time scheduling theory for multiprocessor systems assumes independent periodic or sporadic tasks. Such a simple task model is not directly applicable to dataflow graphs, where nodes represent actors (i.e., tasks) and edges...
The increasing complexity of modern embedded streaming applications imposes new challenges on system designers nowadays. For instance, the applications evolved to the point that in many cases hard-real-time execution on multiprocessor platforms is needed in order to meet the applications' timing requirements. Moreover, in some cases, there is a need to run a set of such applications simultaneously...
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