StreamSpan Project - 2024-2027

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

Date: Friday, May 16th 2025

Place (hybrid meeting): Polytech Nantes, Room D118

Done!

The workshop took place on May 16th, 2025. It was an opportunity to share concerns and ideas and open perspectives about the streaming data topic and distributed systems.

Workshop final picture

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

Session Topic Starting time CEST Starting time IST Duration Speaker
OPENING REMARKS 9h15 12h45 15 mins Dr. Guillaume Raschia
1. Introduction to Streaming Data Systems 9h30 13h00 30 mins Dr. Vinu Venugopal
2. What, Where, When and How of Stream Processing – Part 1 10h 13h30 20+10 mins Dr. Vinu Venugopal
BREAK 10h30 14h00 15 mins
3. W3 & How Stream Processing – Part 2 10h45 14h15 25+15 mins Dr. Vinu Venugopal
4. Zoom in on Window Aggregation 11h25 14h55 30+15 mins Dr. Guillaume Raschia
LUNCH 12h10 15h40 80 mins
5. Hands-On: A Case Study on Stream Processing Using Apache Kafka 13h30 17h00 60 mins Dr. Olivier Aubert
BREAK 14h30 18h00 15 mins
6. Optimal Window Aggregation in Data Streams 14h45 18h15* 20+10 mins Prof. José Martinez
7. Send/Receive Patterns Versus Read/Write Patterns in Crash-Prone Asynchronous Distributed Systems 15h15 18h45 20+10 mins Dr. Matthieu Perrin
8. Asynchronous Iterative Routing Engine 15h45 19h15 20+10 mins Dr. Vinu Venugopal
Closing session 16h15 19h45 15mins

Expected End Time of the Workshop: 16h30 CEST (20h00 IST)

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)

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).