Mbarka Soualhia, Foutse Khomh
and Sofiene Tahar
Paper (2015)
An external link is available for this item
| Department: | Department of Computer Engineering and Software Engineering |
|---|---|
| PolyPublie URL: | https://publications.polymtl.ca/35078/ |
| Conference Title: | 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems (HPCC-ICESS-CSS 2015) |
| Conference Location: | New York, NY, United states |
| Conference Date(s): | 2015-08-24 - 2015-08-26 |
| Publisher: | IEEE |
| DOI: | 10.1109/hpcc-css-icess.2015.170 |
| Official URL: | https://doi.org/10.1109/hpcc-css-icess.2015.170 |
| Date Deposited: | 18 Apr 2023 15:07 |
| Last Modified: | 25 Sep 2024 16:18 |
| Cite in APA 7: | Soualhia, M., Khomh, F., & Tahar, S. (2015, August). Predicting scheduling failures in the cloud: A case study with google clusters and hadoop on Amazon EMR [Paper]. 17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems (HPCC-ICESS-CSS 2015), New York, NY, United states. https://doi.org/10.1109/hpcc-css-icess.2015.170 |
|---|---|
Statistics
Dimensions
Repository Staff Only
|
View Item |
