Kawsar Haghshenas

According to our database, Kawsar Haghshenas authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Carbon emission-aware job scheduling for Kubernetes deployments.

Tobias Piontek, Kawsar Haghshenas, Marco Aiello

J. Supercomput., January, 2024

EaCO: Resource Sharing Dynamics and Its Impact on Energy Efficiency for DNN Training.

Kawsar Haghshenas, Mona Hashemi

CoRR, 2024

2023

Enough hot air: the role of immersion cooling.

Kawsar Haghshenas, Brian Setz, Yannis Blosch, Marco Aiello

Energy Inform., January, 2023

2022

MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers.

Kawsar Haghshenas, Ali Pahlevan, Marina Zapater, Siamak Mohammadi, David Atienza

IEEE Trans. Serv. Comput., 2022

Infrastructure Aware Heterogeneous-Workloads Scheduling for Data Center Energy Cost Minimization.

Kawsar Haghshenas, Somayyeh Taheri, Maziar Goudarzi, Siamak Mohammadi

IEEE Trans. Cloud Comput., 2022

Optimal joint operation of coupled transportation and power distribution urban networks.

Kaushik Sadhu, Kawsar Haghshenas, Mohammadhadi Rouhani, Marco Aiello

Energy Inform., 2022

Energy Smart Buildings: Parallel Uniform Cost-Search with Energy Storage and Generation.

Brian Setz, Kawsar Haghshenas, Marco Aiello

CoRR, 2022

CO2 Emission Aware Scheduling for Deep Neural Network Training Workloads.

Kawsar Haghshenas, Brian Setz, Marco Aiello

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Prediction-based underutilized and destination host selection approaches for energy-efficient dynamic VM consolidation in data centers.

Kawsar Haghshenas, Siamak Mohammadi

J. Supercomput., 2020