Title
Steady-State for Batches of Identical Task Trees
Abstract
In this paper, we focus on the problem of scheduling batches of identical task graphs on a heterogeneous platform, when the task graph consists in a tree. We rely on steady-state scheduling, and aim at reaching the optimal throughput of the system. Contrarily to previous studies, we concentrate upon the scheduling of batches of limited size. We try to reduce the processing time of each instance, thus making steady-state scheduling applicable to smaller batches. The problem is proven NP-complete, and a mixed integer program is presented to solve it. Then, different solutions, using steady-state scheduling or not, are evaluated through comprehensive simulations.
Year
DOI
Venue
2009
10.1007/978-3-642-03869-3_22
Euro-Par
Keywords
Field
DocType
limited size,previous study,mixed integer program,steady-state scheduling,different solution,identical task trees,heterogeneous platform,task graph,optimal throughput,comprehensive simulation,identical task graph,steady state
Fixed-priority pre-emptive scheduling,Fair-share scheduling,Computer science,Parallel computing,Open-shop scheduling,Two-level scheduling,Rate-monotonic scheduling,Dynamic priority scheduling,Earliest deadline first scheduling,Round-robin scheduling,Distributed computing
Conference
Volume
ISSN
Citations 
5704
0302-9743
2
PageRank 
References 
Authors
0.39
10
4
Name
Order
Citations
PageRank
Sékou Diakité141.11
Loris Marchal237536.10
Jean-Marc Nicod39518.10
Laurent Philippe47112.95