StreamSpan Project - 2024-2027

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

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 sessions

The second workshop session will take place at International Institute of Information Technology Bangalore on Thursday, July 17th 2025.

The first workshop session has taken place at Polytech Nantes (France) on Friday, May 16th 2025.

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.

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.

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.

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).