The partitioned scheduling of sporadic task systems on multiprocessors.

Abstract The DBF algorithm of sporadic task systems on multiprocessors uses the approximation of the exact demand bound function on uniprocessor as a criterion. The systems which are feasible under the partitioned paradigm are flagged as 'infeasible' sometimes. In this paper, we present a novel efficient DBF( eDBF) partitioned scheduling algorithm. A criterion which tracks the demand bound function exactly as needed is used to avoid the incorrect judgment in determining whether a processor can accommodate an additional task in the new algorithm. We give the pseudo code of the new algorithm on least-number processors and fixed-number processors respectively. Then, we prove the correctness of, and evaluated the effectiveness of this new algorithm. The experimental results demonstrate that eDBF has better performance than DBF and Density algorithms. [ABSTRACT FROM AUTHOR]