| Texto completo | |
| Autor(es): |
Genez, Thiago A. L.
;
Bittencourt, Luiz F.
;
Sakellariou, Rizos
;
Madeira, Edmundo R. M.
;
Fox, GC
Número total de Autores: 5
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2017 IEEE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD); v. N/A, p. 8-pg., 2017-01-01. |
| Resumo | |
Imprecise input data imposes special challenges to workflow scheduling. This paper introduces a robust scheduler based on particle swarm optimisation, called RobWE, which considers uncertainties of available bandwidth when producing schedules for workflow ensembles. The proposed scheduler is also a flexible scheduler since it allows the replacement of its objective function according to the user's needs. The effectiveness of the proposed RobWE scheduler is compared to a non-robust scheduler that does not consider the presence of such uncertainties. Results of simulations considering diverse scenarios, based on several degrees of uncertainty in available bandwidth estimates, characteristics of bandwidth estimations and workflow applications, demonstrate the advantages of the proposed RobWE scheduler. (AU) | |
| Processo FAPESP: | 12/02778-6 - Escalonamento Dinâmico de Múltiplos Workflows para Provedores de SaaS/PaaS Considerando Dois Níveis de SLA |
| Beneficiário: | Thiago Augusto Lopes Genez |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |