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Khadija Bousselmi
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2020 – today
- 2023
- [c9]Asma Dhaouadi, William Paccoud, Khadija Bousselmi, Sébastien Monnet, Mohamed Mohsen Gammoudi, Slimane Hammoudi:
Big Data Tools: Interoperability Study and Performance Testing. IEEE Big Data 2023: 2386-2395 - [c8]Mounira Sassi, Hanen Idoudi, Khadija Bousselmi:
Combining MLP and Feature Engineering to Predict Avalanche Severity. CoDIT 2023: 151-156 - [c7]Moenes Ben Soussia, Khadija Bousselmi, Hanen Idoudi:
Deep Reinforcement Learning-based Load Balancer usaing Kubernetes. INISTA 2023: 1-7 - 2022
- [j2]Asma Dhaouadi
, Khadija Bousselmi
Data Warehousing Process Modeling from Classical Approaches to New Trends: Main Features and Comparisons. Data 7(8): 113 (2022) - [c6]Asma Dhaouadi, Khadija Bousselmi
A Multi-layer Modeling for the Generation of New Architectures for Big Data Warehousing. AINA (2) 2022: 204-218 - [c5]Mounira Sassi, Hanen Idoudi, Khadija Bousselmi
Predictive Systems for Snow Avalanche Forecasting. CoDIT 2022: 837-842 - 2020
- [c4]Khadija Bousselmi, Sana Ben Hamida
Bi-Objective CSO for Big Data Scientific Workflows Scheduling in the Cloud: Case of LIGO Workflow. ICSOFT 2020: 615-624
2010 – 2019
- 2017
- [j1]Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
DR-SWDF: A Dynamically Reconfigurable Framework for Scientific Workflows Deployment in the Cloud. Scalable Comput. Pract. Exp. 18(2): 177-193 (2017) - 2016
- [c3]Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
Energy Efficient Partitioning and Scheduling Approach for Scientific Workflows in the Cloud. SCC 2016: 146-154 - [c2]Khadija Bousselmi, Zaki Brahmi, Mohamed Mohsen Gammoudi:
QoS-Aware Scheduling of Workflows in Cloud Computing Environments. AINA 2016: 737-745 - 2014
- [c1]Khadija Bousselmi, Zaki Brahmi
Cloud Services Orchestration: A Comparative Study of Existing Approaches. AINA Workshops 2014: 410-416
Coauthor Index
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