The “Compute Continuum” paradigm is transforming how we manage the heterogeneity and dynamism of widespread computing resources. By seamlessly integrating resources across the edge, fog, and cloud — and potentially extending towards emerging domains such as satellite-enabled infrastructures — this paradigm enhances data locality, performance, availability, adaptability, energy and carbon efficiency, and other non-functional properties. This is made possible by overcoming resource fragmentation and segregation in tiers, allowing applications to be seamlessly executed and relocated along a continuum of resources spanning from the edge to the cloud. Besides consolidated vertical and horizontal scaling patterns, the Compute Continuum also introduces fine-grained adaptation actions tailored to specific infrastructure components (e.g., optimizing energy consumption, offloading computation across heterogeneous links, or leveraging specialized hardware such as GPUs and FPGAs). These capabilities unlock significant benefits, including support for latency-sensitive applications, reduction of network bandwidth consumption, improved privacy protection, and the development of novel services across domains such as smart cities, healthcare, safety, and mobility. All of this should be achievable by application developers without having to worry about how and where the developed components will be executed.

At the same time, traditional deployment and execution assumptions are increasingly challenged by the dynamism and heterogeneity of continuum infrastructures. Lightweight execution environments and runtimes — including unikernels, microVMs, and WebAssembly-based sandboxes — are emerging as promising solutions to reduce overheads and enable fine-grained control over resource usage, while raising new challenges for orchestration, coordination, and scheduling across the continuum.

To fully harness the potential of the Compute Continuum, proactive, autonomous, and infrastructure-aware management is essential. This calls for novel interdisciplinary approaches that exploit optimization theory, control theory, machine learning, and artificial intelligence methods.

In this landscape, the workshop is willing to attract contributions in the area of distributed systems with particular emphasis on support for geographically distributed platforms and autonomic features to deal with variable workloads and environmental events, and take the best of heterogeneous and distributed infrastructures.

A partial list of interesting topics of this workshop is the following:

• Scalable architectures and systems for the Compute Continuum
• Orchestration, deployment, and management of resources and applications in the Compute Continuum
• Programming models, languages and patterns for the Compute Continuum
• Compute Continuum performance modeling and analysis
• Function-as-a-Service and Backend-as-a-Service in the Compute Continuum
• Energy-efficient and carbon-aware solutions for sustainable Compute Continuum
• Lightweight virtualization and execution environments for the Compute Continuum (e.g., unikernels, microVMs, WebAssembly)
• AI-driven optimization and AI-related workloads in the Compute Continuum (e.g., federated, distributed, decentralized learning)
• Compute Continuum architectures for AI workloads
• Scalable applications for the Compute Continuum (e.g., IoT, microservices, serverless)
• Data processing and analytics in the Compute Continuum
• Digital Twins and industry applications in the Compute Continuum
• Prototypes and real-life experiments involving Compute Continuum
• Heterogeneous hardware acceleration and domain-specific architectures
• Workflows in the Compute Continuum
• Convergence and integration of HPC and Continuum platforms 
• Resilience and fault-tolerant strategies for the Compute Continuum
• Benchmarks, reproducibility frameworks, and real-world experimental platforms

Important dates

Submission deadline: May 15, 2026
Notification of acceptance: June 12, 2026
Camera-ready deadline: July 10, 2026
Workshop dates: August 24-25, 2026

Submission Instructions

The papers should be formatted according to the Springer LNCS guidelines. They should be between a minimum of 10 and a maximum of 12 pages, including figures, tables, and references. Submitted papers should present novel contributions and should not have been submitted for publication elsewhere.

Paper submissions are handled through EasyChair:
https://easychair.org/conferences/?conf=europar2026workshops

Camera-ready Submission and Inclusion in the Proceedings

Starting from this edition, the collection of camera-ready versions of accepted papers, together with the corresponding copyright forms, will take place prior to the beginning of the conference.

The final decision regarding inclusion of a paper in the proceedings will be made after the conference, based on the following criteria:

1. A valid registration is associated with the workshop paper;
2. The paper is presented in person during the workshop;
3. The paper complies with the page limits (10-12 pages);
4. Authors submit both the final source files and the camera-ready version by the Camera-Ready deadline.

The process will be managed through the Springer Meteor system.