Publications

Lasse Thostrup, Gloria Doci, Nils Boeschen, Manisha Luthra, Carsten Binnig (2023). Distributed GPU Joins on Fast RDMA-capable Networks. To appear in ACM SIGMOD 2023.

Roman Heinrich, Manisha Luthra, Harald Kornmayer, Carsten Binnig (2022). Zero-shot cost models for Distributed Stream Processing. ACM DEBS 2022.

Johannes Wehrstein, Benjamin Hilprecht, Benjamin Olt, Manisha Luthra, Carsten Binnig (2022). The Case for Multi-Task Zero-Shot Learning for Databases. AIDB workshop in VLDB 2022.

Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra (2022). PANDA: Performance Prediction for Parallel and Dynamic Stream Processing. ACM DEBS 2022.

Kamran Razavi, Manisha Luthra, Boris Koldehofe, Max Mühlhäuser, Lin Wang (2022). FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees. IEEE RTAS 2022.

Manisha Luthra, Boris Koldehofe, Niels Danger, Pascal Weisenberger, Guido Salvaneschi, Ioannis Stavrakakis (2021). TCEP: Transitions in operator placement to adapt to dynamic network environments. Journal of Computer and System Sciences.

Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe (2020). Operator as a Service: Stateful Serverless Complex Event Processing. IEEE BigData 2020.

Manisha Luthra, Boris Koldehofe, Jonas Höchst, Patrick Lampe, Ali Haider Rizvi, Ralf Kundel, Bernd Freisleben (2019). INetCEP: In-Network Complex Event Processing for Information-Centric Networking. IEEE ANCS.