The “Compute Continuum” paradigm promises to manage the heterogeneity and dynamism of widespread computing resources, aiming to simplify the execution of distributed applications improving data locality, performance, availability, adaptability, energy management as well as other non-functional features. This is made possible by overcoming resource fragmentation and segregation in tiers, enabling 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, this paradigm also offers more detailed adaptation actions that strictly depend on the specific infrastructure components (e.g., to reduce energy consumption, or to exploit specific hardware such as GPUs and FPGAs). This enables the enhancement of latency-sensitive applications, the reduction of network bandwidth consumption, the improvement of privacy protection, and the development of novel services aimed at improving living, health, 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. Therefore, to unleash the true potential offered by the Compute Continuum, proactive, autonomous, and infrastructure-aware management is desirable, if not mandatory, calling 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 Compute Continuum
- System software for cloud-edge-IoT orchestration
- Distributed and decentralized management of resources and application deployment in the Compute Continuum
- Programming models, languages and patterns for the Compute Continuum
- Compute Continuum performance modeling and analysis
- Compute Continuum as a service
- Energy-efficient solutions for sustainable Compute Continuum
- AI in the Compute Continuum
- Scalable applications for Compute Continuum (IoT, microservices, serverless)
- Data-intensive and stream processing systems and applications in the Compute Continuum
- Digital Twins and industry applications in the Compute Continuum
- Prototypes and real-life experiments involving Compute Continuum
- Benchmarks and experimental platforms for reproducible experiments in the Compute Continuum
Important dates
Submission deadline: May 20, 2024 (extended)
Notification of acceptance: June 20, 2024
Camera-ready deadline: July 1, 2024
Workshop dates: August 26-27, 2024
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.
All papers must be submitted using the EasyChair submission system and selecting the “International Workshop on Scalable Compute Continuum” track.
Journal Special Issue
TBA