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ORCIDKawsar Haghshenas
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2020 – today
- 2024
[j6]Tobias Piontek, Kawsar Haghshenas
, Marco Aiello:
Carbon emission-aware job scheduling for Kubernetes deployments. J. Supercomput. 80(1): 549-569 (2024)- [i3]Kawsar Haghshenas, Mona Hashemi:
EaCO: Resource Sharing Dynamics and Its Impact on Energy Efficiency for DNN Training. CoRR abs/2412.08294 (2024) - 2023
- [j5]Kawsar Haghshenas, Brian Setz, Yannis Blosch, Marco Aiello:
Enough hot air: the role of immersion cooling. Energy Inform. 6(1): 14 (2023) - 2022
- [j4]Kaushik Sadhu, Kawsar Haghshenas, Mohammadhadi Rouhani, Marco Aiello:
Optimal joint operation of coupled transportation and power distribution urban networks. Energy Inform. 5 (2022) - [j3]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): 972-983 (2022) - [j2]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): 30-44 (2022) - [c1]Kawsar Haghshenas, Brian Setz, Marco Aiello:
CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads. IEEE Big Data 2022: 1542-1549 - [i2]Kawsar Haghshenas, Brian Setz, Yannis Blosch, Marco Aiello:
Enough Hot Air: The Role of Immersion Cooling. CoRR abs/2205.04257 (2022) - [i1]Brian Setz, Kawsar Haghshenas, Marco Aiello:
Energy Smart Buildings: Parallel Uniform Cost-Search with Energy Storage and Generation. CoRR abs/2211.08969 (2022) - 2020
- [j1]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): 10240-10257 (2020)
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