2020

Conférence

OCTA International Multi-Conference, Information Systems and Economic Intelligence (SIIE)

Cloud computing has reached huge popularity for delivering on-demand services on a pay-per-use basis over the internet. However, since the number of cloud users evolves, multi-cloud environment has been introduced where clouds are interconnected in order to satisfy customers' requirements. Task scheduling in such environments is very challenging mainly due to the heterogeneity of resources. In this paper, a budget-constrained dynamic Bag-of-Tasks scheduling algorithm for heterogeneous multi-cloud environment is proposed. By performing experiments on synthetic data sets that we propose, we demonstrate the effectiveness of the algorithm in terms of makespan.

M. Karaja, M. Ennigrou and L. B. Said, "Budget-constrained dynamic Bag-of-Tasks scheduling algorithm for heterogeneous multi-cloud environment," 2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA), Tunis, Tunisia, 2020, pp. 1-6, doi: 10.1109/OCTA49274.2020.9151737.