Kawsar Haghshenas

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Neural Network Training

Energy Efficiency

Top Venues

J. Supercomput.

IEEE Trans. Serv. Comput.

Publications

Tobias Piontek, Kawsar Haghshenas, Marco Aiello
Carbon emission-aware job scheduling for Kubernetes deployments. J. Supercomput. 80 (1) (2024)
Kawsar Haghshenas, Brian Setz, Yannis Blosch, Marco Aiello
Enough hot air: the role of immersion cooling. Energy Inform. 6 (1) (2023)
Brian Setz, Kawsar Haghshenas, Marco Aiello
Energy Smart Buildings: Parallel Uniform Cost-Search with Energy Storage and Generation. CoRR (2022)
Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza
MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers. IEEE Trans. Serv. Comput. 15 (1) (2022)
Kawsar Haghshenas, Brian Setz, Yannis Bloch, Marco Aiello
Enough Hot Air: The Role of Immersion Cooling. CoRR (2022)
Kawsar Haghshenas, Brian Setz, Marco Aiello
CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads. Big Data (2022)
Kawsar Haghshenas, Somayyeh Taheri, Maziar Goudarzi, Siamak Mohammadi
Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization. IEEE Trans. Cloud Comput. 10 (2) (2022)
Kaushik Sadhu, Kawsar Haghshenas, Mohammadhadi Rouhani, Marco Aiello
Optimal joint operation of coupled transportation and power distribution urban networks. Energy Inform. 5 (2022)
Kawsar Haghshenas, Siamak Mohammadi
Prediction-based underutilized and destination host selection approaches for energy-efficient dynamic VM consolidation in data centers. J. Supercomput. 76 (12) (2020)