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ORCIDPawel Zuk
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2020 – today
- 2026
[j3]Suman Raj
, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, Ewa Deelman:
AeroResQ: Edge-accelerated UAV framework for scalable, resilient and collaborative escape route planning in wildfire scenarios. Future Gener. Comput. Syst. 183: 108579 (2026)- 2025
- [j2]Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman, Anirban Mandal, Hongwei Jin, Imtiaz Mahmud, Komal Thareja, Shixun Wu, Pawel Zuk, Mariam Kiran, Zizhong Chen, Sheng Di, Kesheng Wu:
SWARM: Reimagining scientific workflow management systems in a distributed world. Int. J. High Perform. Comput. Appl. 39(5): 692-712 (2025) - [c10]Komal Thareja, Krishnan Raghavan, Anirban Mandal, Pawel Zuk, Imtiaz Mahmud, Mariam Kiran, Ewa Deelman:
A Greedy Consensus-Based Approach to Distributed Job Selection: Toward Fully-Decentralized Workload Management System. CCGrid 2025: 63-72 - [c9]Hongwei Jin, Pawel Zuk, Krishnan Raghavan, Prachi Jadhav, Aiden Hamade, Ewa Deelman, Prasanna Balaprakash:
Bridging Speed and Optimality in Job Scheduling: A Hybrid Ant Colony Optimization Approach for Distributed Systems. SC Workshops 2025: 2190-2200 - [i8]Suman Raj, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, Ewa Deelman:
AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios. CoRR abs/2511.00038 (2025) - 2024
- [c8]Imtiaz Mahmud, Pawel Zuk, Cong Wang, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman:
DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure. IEEE Big Data 2024: 4167-4177 - [c7]Filip Mikina, Pawel Zuk, Krzysztof Rzadca:
sAirflow: Adopting Serverless in a Legacy Workflow Scheduler. Euro-Par (1) 2024: 254-268 - [c6]Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman:
Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. SC 2024: Article 92 - [i7]Filip Mikina, Pawel Zuk, Krzysztof Rzadca:
sAirflow: Adopting Serverless in a Legacy Workflow Scheduler. CoRR abs/2406.01374 (2024) - [i6]Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman:
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning. CoRR abs/2407.17545 (2024) - 2022
- [j1]Pawel Zuk, Krzysztof Rzadca:
Reducing response latency of composite functions-as-a-service through scheduling. J. Parallel Distributed Comput. 167: 18-30 (2022) - [c5]Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca:
Divide (CPU Load) and Conquer: Semi-Flexible Cloud Resource Allocation. CCGRID 2022: 129-139 - [c4]Pawel Zuk, Bartlomiej Przybylski, Krzysztof Rzadca:
Call Scheduling to Reduce Response Time of a FaaS System. CLUSTER 2022: 172-182 - [c3]Bartlomiej Przybylski, Maciej Pawlik, Pawel Zuk, Bartlomiej Lagosz, Maciej Malawski, Krzysztof Rzadca:
Using Unused: Non-Invasive Dynamic FaaS Infrastructure with HPC-Whisk. SC 2022: 40:1-40:15 - [i5]Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca:
Divide (CPU Load) and Conquer: Semi-Flexible Cloud Resource Allocation. CoRR abs/2206.05035 (2022) - [i4]Pawel Zuk, Bartlomiej Przybylski, Krzysztof Rzadca:
Call Scheduling to Reduce Response Time of a FaaS System. CoRR abs/2207.13168 (2022) - [i3]Bartlomiej Przybylski, Maciej Pawlik, Pawel Zuk, Bartlomiej Lagosz, Maciej Malawski, Krzysztof Rzadca:
Using Unused: Non-Invasive Dynamic FaaS Infrastructure with HPC-Whisk. CoRR abs/2211.00717 (2022) - 2021
- [c2]Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca:
Data-driven scheduling in serverless computing to reduce response time. CCGRID 2021: 206-216 - [i2]Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca:
Data-driven scheduling in serverless computing to reduce response time. CoRR abs/2105.03217 (2021) - 2020
- [c1]Pawel Zuk, Krzysztof Rzadca:
Scheduling Methods to Reduce Response Latency of Function as a Service. SBAC-PAD 2020: 132-140 - [i1]Pawel Zuk, Krzysztof Rzadca:
Scheduling Methods to Reduce Response Latency of Function as a Service. CoRR abs/2008.04830 (2020)
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