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WSCC 2024: Euro-Par 2024 International Workshop on Scalable Compute Continuum
Date: 26-27 August 2024
Location: Madrid, Spain
Workshop web page: https://wscc.di.unipi.it/
Euro-Par web page: https://2024.euro-par.org/
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* Call for Papers
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
- Function-as-a-Service and Backend-as-a-Service in the Compute Continuum
- Energy-efficient solutions for sustainable Compute Continuum
- AI in and for 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

* Submission Instructions
The papers should be formatted according to the LNCS guidelines. They should be 
between a minimum of 10 and maximum of 12 pages.

* Special Issue
Selected papers will be invited to submit an extended version to a Journal 
Special Issue. We are in contact to propose a Special Issue in a high-quality 
journal. Information will appear soon on the WSCC web site.

* Important Dates
  May 6th, 2024       Paper submission deadline
  June 17th, 2024    Paper acceptance notifications
  July 1st, 2024       Camera-ready due

* Workshop Co-Chairs
- Valeria Cardellini, University of Rome Tor Vergata, Italy
- Patrizio Dazzi,     University of Pisa, Italy
- Gabriele Mencagli,  University of Pisa, Italy
- Matteo Nardelli,    Bank of Italy, Italy
- Massimo Torquati,   University of Pisa, Italy

Looking forward to receiving your excellent submissions soon.

Best regards,

Valeria Cardellini, Patrizio Dazzi, Gabriele Mencagli, Matteo Nardelli, and 
Massimo Torquati



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Alberto Ottimo
PhD Student
Department of Computer Science
University of Pisa, Italy
E-mail: alberto.ott...@phd.unipi.it
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