DocumentCode :
3154462
Title :
A polynomial algorithm for the computation of buffer capacities with throughput constraint for embedded system design
Author :
Benazouz, Mohamed ; Marchetti, Olivier ; Munier-Kordon, Alix ; Urard, Pascal
Author_Institution :
LIP6, Univ. Pierre et Marie Curie, Paris, France
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
690
Lastpage :
695
Abstract :
Marked timed weighted event graphs (in short MTWEG), which are a subclass of Petri nets, are widely used for modelling practical industrial problems. In this paper, a central practical problem for the design of streaming (e.g. multimedia or network packet processing) is modelled using a MTWEG. The optimization problem tackled here consists then on finding an initial marking minimizing the overall number of tokens for a minimum given throughput. If the firings of the transitions are periodic, this problem is NP-complete and can be modelled using an integer linear program. A general lower bound on the minimum overall capacity is then proved. If the initial MTWEG has a unique circuit, a polynomial time algorithm based on the resolution of a particular Diophantine equation is presented to solve it exactly. We lastly experiment it on an industrial example.
Keywords :
Petri nets; computational complexity; embedded systems; optimisation; Diophantine equation; NP-complete; Petri nets; embedded system design; integer linear program; marked timed weighted event graphs; polynomial algorithm; polynomial time algorithm; streaming applications; Algorithm design and analysis; Embedded computing; Embedded system; Job shop scheduling; Manufacturing systems; Petri nets; Polynomials; Signal processing algorithms; Streaming media; Throughput; Buffer optimization; Manufacturing System; Periodic Schedule; Synchronous Dataflow; Timed Weighted Event Graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
Type :
conf
DOI :
10.1109/ICCIE.2009.5223822
Filename :
5223822
Link To Document :
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