StreamSpan Project - 2024-2027

Second Indo-French Workshop on "Scalable Technologies for Real-time Event Analysis and Management" (STREAM)

Date: Thursday, July 17th 2025

Place (hybrid meeting): International Institute of Information Technology Bangalore

Workshop Overview

With the rise of Industry 4.0 and IoT, the demand for real-time, scalable processing of unbounded data streams has surged. Traditional database architectures struggle to keep up with the continuous and high-velocity nature of streaming data. As a result, distributed streaming systems have emerged as a critical solution.

This workshop provides an introductory, yet comprehensive understanding of how modern stream processing systems handle large-scale, real-time data streams. Participants will explore the challenges, architecture, and optimization techniques required for efficiently processing both point events (instantaneous occurrences) and spanning events (events with a duration). The workshop will also include discussions on recent research papers and state-of-the-art advancements in streaming systems.

Workshop Objectives

By the end of this workshop, participants will:

  • Understand the fundamentals of unbounded data streams and why traditional databases fall short.

  • Learn the core principles of distributed stream processing systems used in Industry 4.0 and IoT applications.

  • Explore the key differences between point events and spanning events and why supporting both is crucial.

  • Gain insights into real-time event processing architectures and benchmarking techniques for evaluating performance.

  • Discuss recent research papers on streaming systems and emerging trends in real-time data analytics.

  • Engage in hands-on exercises to implement and optimize streaming queries.

Target Audience

This workshop is ideal for:

  • Researchers and students in data streaming, distributed systems, and real-time analytics.

  • Data engineers and developers working with big data streaming platforms.

  • Industry professionals in telecommunications, IoT, digital twins, and cloud computing.

  • Anyone interested in theoretical and practical aspects of scalable event stream processing.

Workshop Planning

Starting time IST Starting time CEST Topic
09:30 6h00 Opening remarks by Dr. Guillaume Raschia/Dr. Vinu Venugopal
09:40 6h10 Introduction to Streaming Data Systems by Dr. Vinu Venugopal
10:10 6h40 What, Where, When and How of Stream Processing (W3H) by Dr. Vinu Venugopal
10:30 7h00 Tea / Coffee Break
10:45 7h15 W3H (cont.)
11:45 8h15 Zoom in on Window Aggregation by Dr. Guillaume Raschia, University of Nantes, France
12:30 9h00 Hands-On: Preparation by Ms. Anushka and Mr. Sriram
13:00 9h30 Lunch Break
14:00 10h30 Hands-On: A Case Study on Stream Processing Using Apache Kafka by Dr O. Aubert, University of Nantes, France
15:00 11h30 Optimal Window Aggregation in Data Streams (CIKM-24) by Prof. José Martinez, University of Nantes, France
15:30 12h00 Tea / Coffee Break
15:45 12h15 Invited Talk on Triparts, a scalable streaming graph partitioner based on conserving triangles (VLDB-25) by Dr. Manoj Agarwal, Co-founder, GiKA AI
16:45 13h15 Closing remarks

Expected End Time of the Workshop: 17h15 IST (13h45 CEST)

Required Technical Setup

Expected Outcomes

This workshop will equip participants with the skills and knowledge to design, implement, and optimize real-time data streaming solutions. Through engaging discussions on recent research and real-world case studies, participants will gain a deep understanding of scalable event stream processing architectures for Industry 4.0 and IoT applications.

Key Takeaways

  • Foundational knowledge of real-time, unbounded stream processing.

  • Hands-on experience with modern distributed streaming frameworks.

  • Exposure to the latest research papers and benchmarks in stream processing.

  • Practical insights into handling large-scale Industry 4.0 and IoT event streams.

Organizing Committee / PC Chairs

Program Committee (tentative)

  • Dr. Guillaume Raschia (Polytech Nantes, Nantes University, France)

  • Prof. Jose Martinez (Polytech Nantes, Nantes University, France)

  • Dr. Vinu Ellampallil Venugopal (International Institute of Information Technology Bangalore)

  • Dr. Olivier Aubert (Polytech Nantes, Nantes University, France)

  • Prof. Martin Theobald (University of Luxembourg, Luxembourg)

  • Mr. Chinmay Parekh (International Institute of Information Technology Bangalore)

  • Mr. Akhil Puppala (International Institute of Information Technology Bangalore)

  • Mr. Gowtham Reddy (International Institute of Information Technology Bangalore)

  • Mr. Charan Sai Kolipakula (International Institute of Information Technology Bangalore)

  • Dr. Mauro Dalle Lucca Tosi (Luxembourg Institute of Science and Technology (LIST))

  • Dr. Alessandro Temperoni (University of Luxembourg, Luxembourg)

  • Dr. Matthieu Perrin (Polytech Nantes, Nantes University, France)

  • Mr. Erwan Brunelière (Polytech Nantes, Nantes University, France)

  • Ms. Anushka Raj (Christ University, Bangalore, India)

  • Dr. Smita Vijaya Kumar (University of Cambridge, UK)

  • Dr. Manoj Agarwal (Co-founder, GiKA.AI, India)

  • Mr. Sriram Srikanth (International Institute of Information Technology Bangalore)

Funding Agency

This workshop is a part of an Indo-French Collaborative Research Project (No.7102-2) Funded by Indo-French Centre for the Promotion of Advanced Research (CEFIPRA).