Min, Veeravalli, and Barlas proposed strategies to minimize the overall execution time of one or several divisible loads on a heterogeneous linear network, using one or more installments. We show on a very simple example that the proposed approach does not always produce a solution and that, when it does, the solution is often suboptimal. We also show how to find an optimal scheduling for any instance, once the number of installments per load is given. Finally, we formally prove that under a linear cost model, as in the original paper, an optimal schedule has an infinite number of installments. Such a cost model can therefore not be sed to design practical multi-installment strategies.Min, Veeravalli, and Barlas ont proposé [8,9] des straté...
10.1016/j.jpdc.2005.05.016Journal of Parallel and Distributed Computing65121558-1577JPDC
Les travaux présentés dans cette thèse portent sur l’ordonnancement d’applications multi-tâches liné...
The goal of this thesis is to provide methods for the control and theoptimization of large-scale sys...
Min, Veeravalli, and Barlas proposed strategies to minimize the overall execution time of one or sev...
International audienceMin, Veeravalli, and Barlas have proposed strategies to minimize the overall e...
Min, Veeravalli, and Barlas have recently proposed strategies to minimize the overall execution time...
In this paper the multi-installment load distribution strategy is applied to a linear network of pro...
The problem of distributing and processing a divisible load in a heterogeneous linear net-work of pr...
In this paper we study master-worker scheduling of divisible loads in heterogeneous distributed syst...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
Divisible workload applications occur in many fields of science and engineering. Although these appl...
Abstract—This paper considers scheduling divisible workloads from multiple sources in linear network...
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and netwo...
This thesis mainly deals with the mapping and the scheduling of applications on large heteroge- neou...
In this paper, we discuss several algorithms for scheduling divisible loads on heterogeneous systems...
10.1016/j.jpdc.2005.05.016Journal of Parallel and Distributed Computing65121558-1577JPDC
Les travaux présentés dans cette thèse portent sur l’ordonnancement d’applications multi-tâches liné...
The goal of this thesis is to provide methods for the control and theoptimization of large-scale sys...
Min, Veeravalli, and Barlas proposed strategies to minimize the overall execution time of one or sev...
International audienceMin, Veeravalli, and Barlas have proposed strategies to minimize the overall e...
Min, Veeravalli, and Barlas have recently proposed strategies to minimize the overall execution time...
In this paper the multi-installment load distribution strategy is applied to a linear network of pro...
The problem of distributing and processing a divisible load in a heterogeneous linear net-work of pr...
In this paper we study master-worker scheduling of divisible loads in heterogeneous distributed syst...
AbstractTo date closed form solutions for optimal finish time and job allocation are largely obtaine...
Divisible workload applications occur in many fields of science and engineering. Although these appl...
Abstract—This paper considers scheduling divisible workloads from multiple sources in linear network...
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and netwo...
This thesis mainly deals with the mapping and the scheduling of applications on large heteroge- neou...
In this paper, we discuss several algorithms for scheduling divisible loads on heterogeneous systems...
10.1016/j.jpdc.2005.05.016Journal of Parallel and Distributed Computing65121558-1577JPDC
Les travaux présentés dans cette thèse portent sur l’ordonnancement d’applications multi-tâches liné...
The goal of this thesis is to provide methods for the control and theoptimization of large-scale sys...