Veröffentlichungen (Pratyush Agnihotri)
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[AKSHBL24]
PDF		 Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra:
ZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing. In: Proceedings of the IEEE 40th International Conference on Data Engineering (ICDE), p. 2040-2053, IEEE, May 2024.
[AKHBL24]
PDF		 Pratyush Agnihotri, Boris Koldehofe, Roman Heinrich, Carsten Binnig, and Manisha Luthra:
PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing. In: Performance Evaluation and Benchmarking - 16th TPC Technology Conference, TPCTC 2024, p. 22, Springer, 2024.
[GZA+23]
PDF		 Pegah Golchin, Chengbo Zhou, Pratyush Agnihotri, Mehrdad Hajizadeh, Ralf Kundel, Ralf Steinmetz:
CML-IDS: Enhancing Intrusion Detection in SDN through Collaborative Machine Learning. p. 9, October 2023.
[AKBL23]
PDF		 Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra:
Zero-Shot Cost Models for Parallel Stream Processing. In: Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, June 2023, ISBN 9798400701931.
[FLBA23]
PDF		 Mikhail Fomichev, Manisha Luthra, Maik Benndorf, Pratyush Agnihotri:
No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems. In: Proceeding of the 17th ACM International Conference on Distributed and Event-based Systems, p. 7, June 2023, ISBN 979-8-4007-0193-1/23/06.
[ALRK22]
PDF		 Pratyush Agnihotri, Manisha Luthra, Miguel Rodriguez, Boris Koldehofe:
IoT-Opt: The Swiss Army Knife to Model and Validate the Performance of IoT Products.. October 2022, ISBN ISBN 978-1-4503-9931-9/22/11.
[Agn22-1]
PDF		 Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra:
PANDA: Performance Prediction for Parallel ANd Dynamic StreAm Processing. In: Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems (DEBS '22), p. 2, June 2022, ISBN 978-1-4503-9308-9/22/06.
[Agn21-1]
PDF		 Pratyush Agnihotri:
Autonomous Resource Management in Distributed Stream Processing Systems. In: Proceedings of 22nd International Middleware Conference Doctoral Symposium, p. 4, October 2021, ISBN 978-1-4503-9155-9/21/12.
[ALP19-1] Pratyush Agnihotri, Manisha Luthra, Sascha Peters:
UrbanPulse: Adaptable Middleware to offer City and User Centric Smart City Solution. In: Proceedings of the 20th International Middleware Conference Demos and Posters, p. 29-30, ACM, December 2019.
[LHA+19-1]
PDF		 Manisha Luthra, Sebastian Hennig, Pratyush Agnihotri, Lin Wang, Boris Koldehofe:
Highly Flexible Server Agnostic Complex Event Processing Operators. In: Proceedings of the 20th ACM/IFIP International Middleware Conference Poster & Demos, p. 2, December 2019, ISBN 978-1-4503-7042-4/19/12.
[AWP19-1] Pratyush Agnihotri, Florian Weber, Sascha Peters:
axxessity: City and User-Centric Approach to Build Smart City Bonn. In: Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems, p. 220-223, ACM, June 2019.
[AAM+17-1]
PDF		 The An Binh Nguyen, Pratyush Agnihotri, Christian Meurisch, Manisha Luthra, Rahul Dwarakanath, Jeremias Blendin, Doreen Böhnstedt, Michael Zink, Ralf Steinmetz:
Efficient Crowd Sensing Task Distribution Through Context-aware NDN-based Geocast. In: 42nd Conference on Local Computer Networks (LCN), p. 52-60, October 2017, ISBN 978-1-5090-6523-3.