Published in , 2025
Recommended citation: Agnihotri, Pratyush, Binnig, Carsten and Luthra, Manisha. (2025). " Learning What Matters: Automated Feature Selection for Learned Performance Models in Parallel Stream Processing." VLDB 2025 Workshop: Applied AI for Database Systems and Applications (AIDB 2025), September 01--05, 2025, London, United Kingdom.
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Published in , 2025
Recommended citation: Agnihotri, Pratyush and Binnig, Carsten. (2025). " Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing." Companion of the 2025 International Conference on Management of Data (SIGMOD-Companion), June 22--27, 2025, Berlin, Germany.
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Published in , 2024
Recommended citation: Agnihotri, Pratyush and Koldehofe, Boris and Heinrich, Roman and Binnig, Carsten and Luthra, Manisha. (2025). "PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing." arXiv preprint arXiv:2504.10704.
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Published in , 2024
Recommended citation: Agnihotri, Pratyush and Koldehofe, Boris and Stiegele, Paul and Heinrich, Roman and Binnig, Carsten and Luthra, Manisha. (2024). "ZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing." ICDE 2024.
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Published in , 2023
Recommended citation: Golchin, Pegah and Zhou, Chengbo and Agnihotri, Pratyush and Hajizadeh, Mehrdad and Kundel, Ralf and Steinmetz, Ralf. (2023). "Cml-ids: Enhancing intrusion detection in sdn through collaborative machine learning." 2023 19th International Conference on Network and Service Management (CNSM).
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Published in , 2023
Recommended citation: Agnihotri, Pratyush and Koldehofe, Boris and Binnig, Carsten and Luthra, Manisha. (2023). "Zero-shot cost models for parallel stream processing." Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management.
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Published in , 2023
Recommended citation: Fomichev, Mikhail and Luthra, Manisha and Benndorf, Maik and Agnihotri, Pratyush. (2023). "No one size (PPM) fits all: Towards privacy in stream processing systems." Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems.
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Published in , 2022
Recommended citation: Agnihotri, Pratyush and Luthra, Manisha and Rodriguez, Miguel and Koldehofe, Boris. (2022). "IoT-opt: the swiss army knife to model and validate the performance of IoT products: demo abstract." Proceedings of the 23rd International Middleware Conference Demos and Posters.
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Published in , 2022
Recommended citation: Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra. (2022). "PANDA: performance prediction for parallel and dynamic stream processing." 16th ACM International Conference on Distributed and Event-Based Systems.
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Published in , 2021
Recommended citation: Agnihotri, Pratyush. (2021). "Autonomous resource management in distributed stream processing systems." Proceedings of the 22nd International Middleware Conference: Doctoral Symposium.
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Published in , 2019
Recommended citation: Agnihotri, Pratyush and Luthra, Manisha and Peters, Sascha. (2019). "Urbanpulse: Adaptable middleware to offer city and user centric smart city solution." Proceedings of the 20th International Middleware Conference Demos and Posters.
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Published in , 2019
Recommended citation: Luthra, Manisha and Hennig, Sebastian and Agnihotri, Pratyush and Wang, Lin and Koldehofe, Boris. (2019). "Highly flexible server agnostic complex event processing operators." Proceedings of the 20th International Middleware Conference Demos and Posters.
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Published in , 2019
Recommended citation: Agnihotri, Pratyush and Weber, Florian and Peters, Sascha. (2019). "Axxessity: City and user-centric approach to build smart city bonn." Proceedings of the 13th ACM international conference on distributed and event-based systems.
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Published in , 2017
Recommended citation: Nguyen, The An Binh and Agnihotri, Pratyush and Meurisch, Christian and Luthra, Manisha and Dwarakanath, Rahul and Blendin, Jeremias and Böhnstedt, Doreen and Zink, Michael and Steinmetz, Ralf. (2017). "Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast." 2017 IEEE 42nd Conference on Local Computer Networks (LCN).
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Published in , 2024
Recommended citation: Agnihotri, Pratyush. (2024). "Accurate Performance Modeling for Distributed Stream Processing: Methods for Performance Benchmarking and Zero-shot Parallelism Tuning in Distributed and Heterogeneous Environments." Technische Universität Darmstadt.
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