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Pages
Posts
PDPS-Bench Demo at ACM SIGMOD PODS 2025!
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PhD Defence
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๐ I am excited to announce that I have successfully completed my PhD defence! ๐
KOM News Blog
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PDPS-Bench TPCTC2024@VLDB
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โ ๏ธ ๐ข๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ธ๐ฒ๐ ๐ฐ๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ๐ ๐ถ๐ป ๐บ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฒ๐๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น๐น๐ ๐ณ๐ผ๐ฟ ๐ผ๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ๐, ๐ถ๐ ๐ด๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ถ๐ป๐ด ๐ต๐ถ๐ด๐ต-๐พ๐๐ฎ๐น๐ถ๐๐ ๐ฑ๐ฎ๐๐ฎ. This data directly impacts the accuracy of models. In scenarios like parallel and distributed stream processing, the need for high-quality training and evaluation data becomes even more crucial.
ZeroTune ICDE 2024
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I had the incredible opportunity to present our paper, โZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing,โ at an A* venue IEEE ICDE Conference 2024 ๐
Zero-Shot Parallel Processing at SIGMOD 2023
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
projects
DCM IT & Security Analysis
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Supported IT security and infrastructure operations at DCM Shriram, focusing on Fortinet, server management, and ITโbusiness alignment.
Smart Kitchen and Weather Apps
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Developed and tested Smart Kitchen and Weather applications for Android tablets and phones, including backend communication and widget interfaces.
Sony DSLR & Camcorder Development
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Developed and customized key modules for Sony DSLR and camcorder devices including UI menus and camera focus features with embedded system testing.
NTTDocomo Phonebook Application
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Developed and tested a smart phonebook application for Android tablets, with automation using QTP and DTAF for NTTDocomo.
Voice over IP (VoIP)
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Developed and tested a cross-platform VoIP application for Android and iOS, including automation and communication feature testing for T-Mobile.
Smart Security Management Server (SSMS)
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Developed test automation frameworks and QA strategies for Kobilโs Smart Security Management Server (SSMS), used by banks and retailers for secure mobile services.
Smart City Bonn
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Developed a real-time sensor data platform for the City of Bonn to deliver smart city services using event-driven architecture and interactive visualizations.
Beethoven Pastoral Project
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Designed and developed the multilingual and responsive frontend for the official Beethoven 250th Anniversary campaign website supported by UNFCCC.
Business Model of NB-IoT
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Developed NB-IoT-based prototypes and integrated CoAP-enabled devices into Deutsche Telekomโs Cloud of Things for smart city applications.
Frontend Development for Enterprise Client
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Designed and implemented a responsive, cross-platform frontend for enterprise clients using Bootstrap 4, JavaScript, and modern web standards.
Stadtlabor โ Darmstadt digital Erleben und Lernen
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Created a citizen-centered digital experience lab to support community-driven engagement with Darmstadtโs smart city initiatives.
DEBS 2019 Conference Website
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Designed and maintained the official website for DEBS 2019 conference, including full frontend implementation, responsiveness, and cross-platform compatibility.
OSCA โ One Smart City App
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The aim of the OSCA project is to create an app that gives citizens convenient access to services provided by cities and third-party providers.
Strategy Consulting for PIB Presentation
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The project aimed to deliver strategy consulting in preparation for the upcoming PIB (Project Investment Board) meeting and final presentation.
Market Analysis for axxessio Voice Strategy
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The aim of the market research for voice was to answer three relevant questions which can drive the success of axxessio in the voice sector
DFG MAKI Subproject C2
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Investigating transition-aware adaptation techniques for event-based systems to enhance Quality of Service in dynamic communication environments.
Parrot โ Privacy Engineering for Real-Time Analytics in Human-Centered IoT
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Collaborative research on privacy-aware real-time analytics in IoT stream processing applications, funded by the Research Council of Norway.
publications
Efficient Crowd Sensing Task Distribution Through Context-Aware NDN-Based Geocast
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 Bรถhnstedt, 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).
Download Paper | Download Bibtex
Axxessity: City and user-centric approach to build smart city bonn
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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Highly flexible server agnostic complex event processing operators
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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Urbanpulse: Adaptable middleware to offer city and user centric smart city solution
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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Autonomous resource management in distributed stream processing systems
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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PANDA: performance prediction for parallel and dynamic stream processing
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.
Download Paper | Download Bibtex
IoT-opt: the swiss army knife to model and validate the performance of IoT products: demo abstract
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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No one size (PPM) fits all: Towards privacy in stream processing systems
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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Zero-shot cost models for parallel stream processing
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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Cml-ids: Enhancing intrusion detection in sdn through collaborative machine learning
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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Accurate Performance Modeling for Distributed Stream Processing: Methods for Performance Benchmarking and Zero-shot Parallelism Tuning in Distributed and Heterogeneous Environments
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 Universitรคt Darmstadt.
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ZeroTune: Learned Zero-Shot Cost Models for Parallelism Tuning in Stream Processing
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.
Download Paper | Download Bibtex
PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
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.
Download Paper | Download Bibtex
Demonstration PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing
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.
Download Paper | Download Bibtex
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Supervised Labs, Seminars, and Projects
Bachelor and Masters course, Multimedia Communication Lab, TU Darmstadt, 2021
Student(s) | Title | Type | Year |
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Michael, Paula, Katrin, Rafik | Parallel and Distributed Streaming Benchmarking | Lab | 2024 |
Rhivu | Auto-Scaling for Distributed Stream Processing using Reinforcement Learning | Lab | 2024 |
Hamna (TU Ilmenau) | Efficient Memory Management for Large Language Model Serving with PagedAttention | Seminar | 2023 |
Daniel (TU Ilmenau) | gSampler - General and Efficient GPU-based Graph Sampling for Graph Learning | Seminar | 2023 |
Daniil (TU Ilmenau) | Parallel Stream Processing in Distributed Stream Processing Systems | Seminar | 2023 |
Mouayad | Parallelizing Intra-Window Join using Hardware Accelerator | Project | 2023 |
Mouaz, Jinyao, Zongdi | Parallel Stream Processing and Data Analytics using Flink | Lab | 2023 |
Chippy, Nishchay | Parallel Stream Processing using Reinforcement Learning | Seminar | 2022 |
Mouayad, Ozcan | Real-time query validation and performance visualization | Lab | 2022 |
Sravya, Gayatri, Harsha | Big Data Analysis and Performance Evaluation | Lab | 2022 |
Aastha, Sushimitha | Learned Operator Parallelization and Stream Processing | Seminar | 2022 |
Chengbo, Xiangyu, Xingzhou | Network Security Monitoring in SDN | Lab | 2022 |
Anton | Performance Evaluation of Windows Join in Stream Processing System | Project | 2022 |
Sushimitha, Christian | Query processing and performance analysis using Flink | Lab | 2022 |
Marvin | Hardware Accelerated Stream Processing | Seminar | 2021 |
Ali | Resources Elasticity and Computation Offloading Techniques in Stream Processing Systems | Seminar | 2021 |
Corinna | Telcaria Alviu- Network Traffic Monitoring and Profiling | Lab | 2021 |
Supervised Students
Bachelor and Masters course, Multimedia Communication Lab, TU Darmstadt, 2021
Student Name | Title | Type | Year |
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Daniel Dirk | Benchmarking Parallelism and Heterogeneity in Distributed Stream Processing | Master | 2024 |
Mizuki Hashimoto | Feature Selection Strategies for Parallel Stream Processing | Master | 2024 |
Paul Stiegele | Learned Parallel Stream Processing | Master | 2022 |
Teaching Assistant
Bachelor and Masters courses, TU Darmstadt, 2025
Years | Course | Role |
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2021โ2024 | Communication Networks | Teaching Assistant |
2014โ2017 | Distributed Systems | Student Tutor |