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 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.

Past Workshop details

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

  • Laptop with Linux/macOS or Windows with WSL.

  • Pre-installed Docker, Apache Kafka, and Apache Flink (installation guide provided).

  • Workshop materials, including datasets, research papers, and sample queries (shared in advance).

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).