ILP models for the allocation of recurrent workloads upon heterogeneous multiprocessors View Full Text


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Article Info

DATE

2018-12-13

AUTHORS

Sanjoy K. Baruah, Vincenzo Bonifaci, Renato Bruni, Alberto Marchetti-Spaccamela

ABSTRACT

The problem of partitioning systems of independent constrained-deadline sporadic tasks upon heterogeneous multiprocessor platforms is considered. Several different integer linear program (ILP) formulations of this problem, offering different trade-offs between effectiveness (as quantified by speedup bound) and running time efficiency, are presented. One of the formulations is leveraged to improve the best speedup guarantee known for a polynomial-time partitioning algorithm, from 12.9 to 7.83. Extensive computational results on synthetically generated instances are also provided to establish the effectiveness of the ILP formulations. More... »

PAGES

1-15

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10951-018-0593-x

DOI

http://dx.doi.org/10.1007/s10951-018-0593-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110580309


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