| 2025 | CCGRID | A Greedy Consensus-Based Approach to Distributed Job Selection: Toward Fully-Decentralized Workload Management System. | Komal Thareja, Krishnan Raghavan, Anirban Mandal, Pawel Zuk, Imtiaz Mahmud, Mariam Kiran, Ewa Deelman |
| 2025 | SC | Bridging Speed and Optimality in Job Scheduling: A Hybrid Ant Colony Optimization Approach for Distributed Systems. | Hongwei Jin, Pawel Zuk, Krishnan Raghavan, Prachi Jadhav, Aiden Hamade, Ewa Deelman, Prasanna Balaprakash |
| 2024 | EuroPar | sAirflow: Adopting Serverless in a Legacy Workflow Scheduler. | Filip Mikina, Pawel Zuk, Krzysztof Rzadca |
| 2024 | SC | Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. | Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman |
| 2022 | CCGRID | Divide (CPU Load) and Conquer: Semi-Flexible Cloud Resource Allocation. | Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca |
| 2022 | CLUSTER | Call Scheduling to Reduce Response Time of a FaaS System. | Pawel Zuk, Bartlomiej Przybylski, Krzysztof Rzadca |
| 2022 | SC | Using Unused: Non-Invasive Dynamic FaaS Infrastructure with HPC-Whisk. | Bartlomiej Przybylski, Maciej Pawlik, Pawel Zuk, Bartlomiej Lagosz, Maciej Malawski, Krzysztof Rzadca |
| 2021 | CCGRID | Data-driven scheduling in serverless computing to reduce response time. | Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca |
| 2020 | SBAC-PAD | Scheduling Methods to Reduce Response Latency of Function as a Service. | Pawel Zuk, Krzysztof Rzadca |