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[OOB19] Workflow scheduling with data transfer optimisation and enhancement of reliability in cloud data centres
Revue Internationale avec comité de lecture : Journal Int. J. Communication Networks and Distributed Systems, pp. to appear, 2019Mots clés: cloud computing; workflow scheduling; data transfer; reliability; discrete particle swarm optimisation
Résumé:
Infrastructure as a service (IaaS) clouds offer huge opportunities
to solve large-scale scientific problems. Executing workflows in such
environments can be expensive in time if not scheduled rightly. Although
scheduling workflows in the cloud is widely studied, most approaches
focus on two user’s quality of service requirements namely makespan (i.e.,
completion time) and costs. Other important features of cloud computing
such as the heterogeneity of resources and reliability must be considered. In
this paper, we present a reliability-aware method based on discrete particle
swarm optimisation (RDPSO) for workflow scheduling in multiple and heterogeneous cloud data centres. Our aim is to optimise data transfer time
while minimising makespan and enhancing reliability. Based on simulation,
our results show a significant improvement in terms of makespan, transferred
data and reliability relative to reliability-aware HEFT method (heterogeneous
earliest finish time), for the real-world workflows.
Collaboration:
USTHB
BibTeX
| @article { | |||
| OOB19, | |||
| title | = | "{Workflow scheduling with data transfer optimisation and enhancement of reliability in cloud data centres}", | |
| author | = | "K. Oukfif and F. Oulebsir Boumghar and S. Bouzefrane and S. Banerjee", | |
| journal | = | "Int. J. Communication Networks and Distributed Systems", | |
| year | = | 2019, | |
| pages | = | "to appear", | |
| } | |||
