Cloud Services Orchestration: A Comparative Study of Existing Approaches. - Khadija Bousselmi; Zaki Brahmi; Mohamed Mohsen Gammoudi (AINA Workshops, 2014)

Energy Efficient Partitioning and Scheduling Approach for Scientific Workflows in the Cloud. - Khadija Bousselmi; Zaki Brahmi; Mohamed Mohsen Gammoudi (SCC, 2016)

QoS-Aware Scheduling of Workflows in Cloud Computing Environments. - Khadija Bousselmi; Zaki Brahmi; Mohamed Mohsen Gammoudi (AINA, 2016)

DR-SWDF: A Dynamically Reconfigurable Framework for Scientific Workflows Deployment in the Cloud. - Khadija Bousselmi; Zaki Brahmi; Mohamed Mohsen Gammoudi (Scalable Comput. Pract. Exp., 2017)

Bi-Objective CSO for Big Data Scientific Workflows Scheduling in the Cloud: Case of LIGO Workflow. - Khadija Bousselmi; Sana Ben Hamida 001; Marta Rukoz (ICSOFT, 2020)

A Multi-layer Modeling for the Generation of New Architectures for Big Data Warehousing. - Asma Dhaouadi; Khadija Bousselmi; Sébastien Monnet; Mohamed Mohsen Gammoudi; Slimane Hammoudi (AINA (2), 2022)

Predictive Systems for Snow Avalanche Forecasting. - Mounira Sassi; Hanen Idoudi; Khadija Bousselmi (CoDIT, 2022)

Data Warehousing Process Modeling from Classical Approaches to New Trends: Main Features and Comparisons. - Asma Dhaouadi; Khadija Bousselmi; Mohamed Mohsen Gammoudi; Sébastien Monnet; Slimane Hammoudi (Data, 2022)

Big Data Tools: Interoperability Study and Performance Testing. - Asma Dhaouadi; William Paccoud; Khadija Bousselmi; Sébastien Monnet; Mohamed Mohsen Gammoudi; Slimane Hammoudi (IEEE Big Data, 2023)

Combining MLP and Feature Engineering to Predict Avalanche Severity. - Mounira Sassi; Hanen Idoudi; Khadija Bousselmi (CoDIT, 2023)

Deep Reinforcement Learning-based Load Balancer usaing Kubernetes. - Moenes Ben Soussia; Khadija Bousselmi; Hanen Idoudi (INISTA, 2023)