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Third IEEE International Conference on Engineering of Complex Computer Systems (ICECCS '97)   p. 130
Feasibility concerns in PGM graphs with bounded buffers

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICECCS.1997.622304
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Abstract
The Processing Graph Method (PGM)-a dataflow model widely used in the design and analysis of embedded signal-processing applications-is studied from a real-time scheduling perspective. It is shown that the problem of deciding if instances of the general model are feasible on a single processor is intractable (co-NP-complete in the strong sense); however, a useful special case is sometimes more tractable. An efficient feasibility test and an optimal preemptive scheduling algorithm are derived for this special case, and a procedure is presented which permits system architects to make efficient use of computational resources and memory requirements for buffers while constructing real-time dataflow applications that offer hard service guarantees.
Additional Information
Index Terms- data flow graphs; feasibility concerns; bounded buffers; processing graph method; dataflow model; embedded signal processing; real-time scheduling; co-NP-complete; feasibility test; optimal preemptive scheduling algorithm; system architects; computational resources; memory requirements

Citation:  S. Baruah, S. Goddard, K. Jeffay, "Feasibility concerns in PGM graphs with bounded buffers," iceccs, p. 130,  Third IEEE International Conference on Engineering of Complex Computer Systems (ICECCS '97),  1997

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