Gaith Rjoub, Jamal Bentahar, Omar Abdul Wahab
and Ahmed Saleh Bataineh
Article (2021)
Document published while its authors were not affiliated with Polytechnique Montréal
An external link is available for this item
| PolyPublie URL: | https://publications.polymtl.ca/51349/ |
|---|---|
| Journal Title: | Concurrency and Computation: Practice and Experience (vol. 33, no. 23) |
| Publisher: | Wiley |
| DOI: | 10.1002/cpe.5919 |
| Official URL: | https://doi.org/10.1002/cpe.5919 |
| Date Deposited: | 18 Apr 2023 15:00 |
| Last Modified: | 18 Apr 2023 15:00 |
| Cite in APA 7: | Rjoub, G., Bentahar, J., Abdul Wahab, O., & Saleh Bataineh, A. (2021). Deep and reinforcement learning for automated task scheduling in large-scale cloud computing systems. Concurrency and Computation: Practice and Experience, 33(23), e5919-e5919. https://doi.org/10.1002/cpe.5919 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
