Manisha Luthra

51 papers A* 4A 1B 5Misc 1Journal 18Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract). AAAI Vashu Chauhan, Avinash Anand, Manisha Luthra, Uélison Jean Lopes dos Santos, Carsten Binnig, Rajiv Ratn Shah
2026	B	`conf`	Towards Multimodal Stream Processing Systems. EDBT Uélison Jean Lopes dos Santos, Alessandro Ferri, Szilard Nistor, Riccardo Tommasini, Carsten Binnig, Manisha Luthra
2025	B	`conf`	Dema: Efficient Decentralized Aggregation for Non-Decomposable Quantile Functions. EDBT Wang Yue, Martin Boissier, Manisha Luthra, Tilmann Rabl
2025	—	`conf`	Eighth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). SIGMOD Conference Companion Renata Borovica-Gajic, Manisha Luthra, Ryan Marcus, Rajesh Bordawekar, Oded Shmueli
2025	J	`jnl`	How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks. CoRR Roman Heinrich, Manisha Luthra, Johannes Wehrstein, Harald Kornmayer, Carsten Binnig
2025	J	`jnl`	How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks. Proc. ACM Manag. Data Roman Heinrich, Manisha Luthra, Johannes Wehrstein, Harald Kornmayer, Carsten Binnig
2025	J	`jnl`	Learned Cost Models for Query Optimization: From Batch to Streaming Systems. Proc. VLDB Endow. Roman Heinrich, Xiao Li, Manisha Luthra, Zoi Kaoudi
2025	J	`jnl`	Opening The Black-Box: Explaining Learned Cost Models For Databases. CoRR Roman Heinrich, Oleksandr Havrylov, Manisha Luthra, Johannes Wehrstein, Carsten Binnig
2025	J	`jnl`	Opening The Black-Box: Explaining Learned Cost Models For Databases. Proc. VLDB Endow. Roman Heinrich, Oleksandr Havrylov, Manisha Luthra, Johannes Wehrstein, Carsten Binnig
2025	J	`jnl`	PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing. CoRR Pratyush Agnihotri, Boris Koldehofe, Roman Heinrich, Carsten Binnig, Manisha Luthra
2025	J	`jnl`	Towards a Multimodal Stream Processing System. CoRR Uélison Jean Lopes dos Santos, Alessandro Ferri, Szilard Nistor, Riccardo Tommasini, Carsten Binnig, Manisha Luthra
2025	—	`conf`	Workshop on ML4Sys and Sys4ML. BTW Workshops Manisha Luthra, Andreas Kipf, Matthias Böhm
2024	J	`jnl`	COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments. CoRR Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra
2024	A*	`conf`	Costream: Learned Cost Models for Operator Placement in Edge-Cloud Environments. ICDE Roman Heinrich, Carsten Binnig, Harald Kornmayer, Manisha Luthra
2024	B	`conf`	Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications. EDBT Wang Yue, Rafael Moczalla, Manisha Luthra, Tilmann Rabl
2024	—	`conf`	PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing. TPCTC Pratyush Agnihotri, Boris Koldehofe, Roman Heinrich, Carsten Binnig, Manisha Luthra
2024	A*	`conf`	ZERoTuNE: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing. ICDE Pratyush Agnihotri, Boris Koldehofe, Paul Stiegele, Roman Heinrich, Carsten Binnig, Manisha Luthra
2023	Misc	`conf`	A Tutorial Workshop on ML for Systems and Systems for ML. BTW Manisha Luthra, Andreas Kipf, Matthias Böhm
2023	J	`jnl`	Distributed GPU Joins on Fast RDMA-capable Networks. Proc. ACM Manag. Data Lasse Thostrup, Gloria Doci, Nils Boeschen, Manisha Luthra, Carsten Binnig
2023	—	`conf`	No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems. DEBS Mikhail Fomichev, Manisha Luthra, Maik Benndorf, Pratyush Agnihotri
2023	J	`jnl`	No One Size (PPM) Fits All: Towards Privacy in Stream Processing Systems. CoRR Mikhail Fomichev, Manisha Luthra, Maik Benndorf, Pratyush Agnihotri
2023	—	`conf`	Zero-Shot Cost Models for Parallel Stream Processing. aiDM@SIGMOD Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra
2022	A	`conf`	FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees. RTAS Kamran Razavi, Manisha Luthra, Boris Koldehofe, Max Mühlhäuser, Lin Wang
2022	—	`conf`	IoT-opt: the swiss army knife to model and validate the performance of IoT products: demo abstract. Middleware Demos/Posters Pratyush Agnihotri, Manisha Luthra, Miguel Rodriguez, Boris Koldehofe
2022	—	`conf`	PANDA: performance prediction for parallel and dynamic stream processing. DEBS Pratyush Agnihotri, Boris Koldehofe, Carsten Binnig, Manisha Luthra
2022	J	`jnl`	Zero-Shot Cost Models for Distributed Stream Processing. CoRR Roman Heinrich, Manisha Luthra, Harald Kornmayer, Carsten Binnig
2022	—	`conf`	Zero-shot cost models for distributed stream processing. DEBS Roman Heinrich, Manisha Luthra, Harald Kornmayer, Carsten Binnig
2021	—	`—`	Network-centric Complex Event Processing. Manisha Luthra
2021	J	`jnl`	TCEP: Transitions in Operator Placement to Adapt to Dynamic Network Environments. CoRR Manisha Luthra, Boris Koldehofe, Niels Danger, Pascal Weisenburger, Guido Salvaneschi, Ioannis Stavrakakis
2021	J	`jnl`	TCEP: Transitions in operator placement to adapt to dynamic network environments. J. Comput. Syst. Sci. Manisha Luthra, Boris Koldehofe, Niels Danger, Pascal Weisenburger, Guido Salvaneschi, Ioannis Stavrakakis
2020	J	`jnl`	Efficient Complex Event Processing in Information-centric Networking at the Edge. CoRR Manisha Luthra, Johannes Pfannmüller, Boris Koldehofe, Jonas Höchst, Artur Sterz, Rhaban Hark, Bernd Freisleben
2020	B	`conf`	Flexible Content-based Publish/Subscribe over Programmable Data Planes. NOMS Ralf Kundel, Christoph Gärtner, Manisha Luthra, Sukanya Bhowmik, Boris Koldehofe
2020	J	`jnl`	INetCEP: In-Network Complex Event Processing for Information-Centric Networking. CoRR Manisha Luthra, Boris Koldehofe, Jonas Höchst, Patrick Lampe, Ali Haider Rizvi, Ralf Kundel, Bernd Freisleben
2020	—	`conf`	Operator as a Service: Stateful Serverless Complex Event Processing. IEEE BigData Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe
2020	J	`jnl`	Operator as a Service: Stateful Serverless Complex Event Processing. CoRR Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe
2019	—	`conf`	3-D Urban Objects Detection and Classification From Point Clouds. DEBS Yassin Alkhalili, Manisha Luthra, Amr Rizk, Boris Koldehofe
2019	—	`conf`	CoalaViz: Supporting Traceability of Adaptation Decisions in Pervasive Communication Systems. PerCom Workshops Martin Pfannemüller, Markus Weckesser, Roland Kluge, Janick Edinger, Manisha Luthra, Robin Klose, Christian Becker, Andy Schürr
2019	—	`conf`	Demo: Visualizing Adaptation Decisions in Pervasive Communication Systems. PerCom Workshops Martin Pfannemüller, Janick Edinger, Markus Weckesser, Roland Kluge, Manisha Luthra, Robin Klose, Christian Becker, Andy Schürr
2019	—	`conf`	Highly Flexible Server Agnostic Complex Event Processing Operators. Middleware Demos/Posters Manisha Luthra, Sebastian Hennig, Pratyush Agnihotri, Lin Wang, Boris Koldehofe
2019	—	`conf`	INetCEP: In-Network Complex Event Processing for Information-Centric Networking. ANCS Manisha Luthra, Boris Koldehofe, Jonas Höchst, Patrick Lampe, Ali Haider Rizvi, Ralf Kundel, Bernd Freisleben
2019	—	`conf`	ProgCEP: A Programming Model for Complex Event Processing over Fog Infrastructure. DFSD@Middleware Manisha Luthra, Boris Koldehofe
2019	J	`jnl`	Transitions for Increased Flexibility in Fog Computing: A Case Study on Complex Event Processing. Inform. Spektrum Manisha Luthra, Boris Koldehofe, Ralf Steinmetz
2019	J	`jnl`	Transitions: A Protocol-Independent View of the Future Internet. Proc. IEEE Bastian Alt, Markus Weckesser, Christian Becker, Matthias Hollick, Sounak Kar, Anja Klein, Robin Klose, Roland Kluge, Heinz Koeppl, Boris Koldehofe, Wasiur R. KhudaBukhsh, Manisha Luthra, Mahdi Mousavi, Max Mühlhäuser, Martin Pfannemüller, Amr Rizk, Andy Schürr, Ralf Steinmetz
2019	—	`conf`	UrbanPulse: Adaptable Middleware to offer City and User Centric Smart City Solution. Middleware Demos/Posters Pratyush Agnihotri, Manisha Luthra, Sascha Peters
2018	—	`conf`	Adapting to Dynamic User Environments in Complex Event Processing System using Transitions. DEBS Manisha Luthra
2018	—	`conf`	TCEP: Adapting to Dynamic User Environments by Enabling Transitions between Operator Placement Mechanisms. DEBS Manisha Luthra, Boris Koldehofe, Pascal Weisenburger, Guido Salvaneschi, Raheel Arif
2018	—	`conf`	Understanding the Behavior of Operator Placement Mechanisms on Large-Scale Networks. Middleware (Posters) Manisha Luthra, Sebastian Hennig, Boris Koldehofe
2017	B	`conf`	Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast. LCN The An Binh Nguyen, Pratyush Agnihotri, Christian Meurisch, Manisha Luthra, Rahul Chini Dwarakanath, Jeremias Blendin, Doreen Böhnstedt, Michael Zink, Ralf Steinmetz
2017	—	`conf`	Quality-Aware Runtime Adaptation in Complex Event Processing. SEAMS@ICSE Pascal Weisenburger, Manisha Luthra, Boris Koldehofe, Guido Salvaneschi
2016	A*	`conf`	One Sensor is not Enough: Adapting and Fusing Sensors for the Quality Assessment of User Generated Video. ACM Multimedia Stefan Wilk, Manisha Luthra, Wolfgang Effelsberg
2015	—	`conf`	On the Security and Privacy of Internet of Things Architectures and Systems. SIoT Emmanouil Vasilomanolakis, Jörg Daubert, Manisha Luthra, Vangelis Gazis, Alexander Wiesmaier, Panayotis Kikiras