[hpc-announce] TDIS 2026: The 4th International Workshop on Testing Distributed Internet of Things Systems (with EuroSys 2026))

[Demetris Trihinas]

The 4th International Workshop on Testing Distributed Internet of Things Systems

Held in conjunction with ACM EuroSys 2026
April 27, 2026, in Edinburgh, United Kingdom

The 4th International Workshop on Testing Distributed Internet of Things Systems (TDIS) will again bring together computer systems researchers and practitioners who focus on testing, evaluating, and measuring distributed IoT systems across the edge-cloud continuum to provide a forum for ongoing work presentations and discussions.

Call for Papers
The Internet of Things (IoT), cloud computing, and artificial intelligence/machine learning (AI/ML) will allow more adaptive and responsive services for our homes, factories, and infrastructures. Yet, this vision of intelligent cyber-physical systems will not be implemented with centralized cloud resources alone. Such resources are simply too far away from sensor-equipped IoT devices, leading to high latencies, bandwidth bottlenecks, and unnecessary energy consumption. Additionally, there are often privacy and safety requirements mandating distributed architectures. Therefore, new distributed computing system architectures have emerged with edge and fog computing, bringing compute and storage resources closer to the devices to realize in situ data-driven and AI-enabled IoT services right at the edge of the network.

The resulting new edge-to-cloud computing environments are often distributed, dynamic, and diverse, making it difficult to implement dependable and efficient IoT systems. Furthermore, it is far less clear how IoT systems can be sufficiently tested before they are deployed to control our infrastructures, factories, and homes. Yet, continuous testing in realistic test environments is essential for such systems. For instance, IoT systems might be deployed to continuously optimize the operation of critical urban infrastructures, including public transport systems, energy grids, water networks, and medical services. New versions of such IoT systems must be evaluated thoroughly before they can be deployed and relied on. Furthermore, the behavior of such IoT systems must be tested under the expected computing environment conditions, including variations of such conditions, given the inherently unsteady nature of IoT environments.

TDIS 2026 will provide a forum for ongoing work presentations and discussions on topics such as test frameworks, hybrid testbeds, (co-)simulation, testing automation and methodologies, monitoring, benchmarking, metrics, resilience testing, energy and emissions testing, data integrity, test tool usability, as well as exemplary IoT applications and empirical evaluations. We welcome submissions that describe initial ideas and visions just as much as reports on preliminary results, practical tools, and completed projects.

Important Dates
- workshop paper submission: February 5 AoE, 2026
- notification of acceptance: March 12, 2026
- workshop day: April 27, 2026

Topics of Interest

Physical and hybrid IoT testbeds
- Heterogeneous and distributed IoT device testbeds
- Containerization and virtualization in IoT testing
- Scalability and flexibility in testbed design for diverse IoT scenarios

Emulation and (co-)simulation test frameworks
- Emulation frameworks that mimic real-world conditions
- Simulating realistic network conditions
- Co-simulation of IoT environment conditions and application domains

Testing practices and methodologies
- Integrating IoT testing in continuous deployment pipelines
- Automated and AI-based testing across IoT-edge-cloud environments
- Representativeness, reproducibility, and repeatability of experiments, benchmarks, and tests in edge/fog/cloud computing environments

Monitoring, benchmarking, and metrics
- (Low overhead) monitoring, tracing, and profiling for distributed IoT systems
- Benchmark suites for evaluating IoT performance
- Metrics for assessing performance, dependability, or usability of IoT applications

Testing energy efficiency, carbon awareness, and resource usage
- Techniques for measuring or modeling energy consumption in IoT systems
- Test frameworks, testbeds, and datasets for evaluating carbon-aware computer systems
- Testing of resource usage and resource management strategies in edge-to-cloud computing environments

Load and resilience testing
- Load/stress testing to ensure system robustness
- Security testing and resilience assessment in connected devices
- Techniques for automated failure injection in distributed IoT systems (e.g. implementing chaos engineering practices)

Testing data quality assurance and privacy preservation techniques
- Assessing methods to ensure data integrity and authenticity in IoT communications
- Testing the detection and mitigation of biases in data-driven IoT applications
- Evaluating privacy-preserving techniques in IoT data collection and analysis

Usability of testbeds, testing frameworks, benchmarks, and experimentation tools
- Evaluating interfaces of IoT systems
- User-centric evaluation methodologies for IoT applications
- Incorporating user feedback into IoT system development and testing

Empirical evaluations of IoT applications
- Empirical analysis of IoT system performance and user experiences
- Lessons learned from implementing and/or deploying large-scale IoT systems in real-world settings
- Cross-disciplinary studies that integrate IoT technologies into specific domains

Author Instructions and Submission Guidelines
TDIS welcomes the submission of original and novel work focusing on the workshop’s topics of interest. Papers are to be written in English and may describe initial ideas and visions, preliminary results, practical tools, and/or completed projects. Authors are encouraged to include links to datasets, code repositories, and other artifacts of their submitted work. Authors are invited to submit both full and short papers, while adhering to the following guidelines.

Full papers should be no longer than 6 pages and short papers no longer than 4 pages. The maximum page limit includes all text, figures, tables, and references. Submissions must be prepared for A4 paper and formatted with double-column and 10-pt font (typeface Times Roman, Linux Libertine). When preparing your paper submission in PDF format, it is highly recommended to use the ACM SIGPLAN templates for either LaTeX or Word, so that the relevant instructions are automatically applied (for LaTeX: \documentclass[sigplan,twocolumn,review]{acmart}).

Submissions to TDIS 2026 are to be made on HotCRP.

All submissions will be reviewed by our program committee following a single-blind reviewing process. Accepted papers will be published in the ACM Digital Library. At least one of the authors of every accepted paper will need to register and present the paper at the workshop.

Before submitting your work, please review the updated ACM Policy on Authorship, which contains information on the use of generative AI in preparing submissions.

Workshop Chairs
Lauritz Thamsen, University of Glasgow, United Kingdom
Demetris Trihinas, University of Nicosia, Cyprus

Program Committee
Eyhab Al-Masri, University of Washington Tacoma, USA
Novella Bartolini, Sapienza University of Rome, Italy
David Bermbach, Technische Universität Berlin, Germany
Georgios Bouloukakis, University of Patras, Greece
Nicolae Cleju, Technical University of Iasi, Romania
Andreas Dionysiou, Delft University of Technology, the Netherlands
Edlira Dushku, Aalborg University, Denmark
Abdessalam Elhabbash, University of Lancaster, United Kingdom
Reza Farahani, Universität Klagenfurt, Austria
Saeid Ghafouri, Huawei Technologies R&D, United Kingdom
Paul Harvey, University of Glasgow, United Kingdom
Gregor Haywood, Abertay University, United Kingdom
Devki Nandan Jha, Newcastle University, United Kingdom
Vasileios Karakostas, University of Athens, Greece
Iacovos G. Kolokasis, ICS-FORTH, Greece
Lauri Lovén, University of Oulu, Finland
Hadi Tabatabaee Malazi, Univesity College Dublin, Ireland
Miguel Matos, University of Lisbon, Portugal
Ilir Murturi, University of Prishtina, Kosovo
Ella Peltonen, University of Oulu, Finland
Lukas Pirl, Hasso Plattner Institute, Germany
Gopika Premsankar, Aalto University, Finland
Philipp Raith, Technische Universität Wien, Austria
Sri Pramodh Rachuri, Stony Brook University, New York, USA
Tanya Shreedhar, Delft University of Technology, the Netherlands
Tom Spink, University of St Andrews, United Kingdom
Moysis Symeonides, University of Cyprus, Cyprus
Klervie Tocze, Vrije Universiteit Amsterdam, the Netherlands
Amjad Ullah, Edinburgh Napier, United Kingdom
Steffen Zeuch, Technische Universität Berlin and BIFOLD, Germany