Special Track: Web Engineering for the Computing Continuum

About:

For updated news and information about this special track, please visit the special track webpage

This track is dedicated to exploring the evolving landscape of web engineering within the computing continuum, encompassing cloud, edge, and fog computing paradigms. As digital services and applications become increasingly pervasive, the seamless integration across this continuum becomes vital for delivering responsive, efficient, and context-aware web solutions. This track aims to delve into the challenges and innovations in designing, deploying, and managing web applications that leverage the distributed nature of computing resources. Topics of interest include but are not limited to distributed architectures, decentralized data processing, latency optimization, resource allocation, and the interplay between cloud services and edge computing in web engineering. Contributions are encouraged from both theoretical and practical perspectives, including case studies, architectural frameworks, performance evaluations, and best practices in web engineering for the computing continuum. This track seeks to provide insights into how web engineering can adapt to and benefit from the distributed computing landscape, offering scalable, resilient, and adaptable web applications across various domains.

Organizers:

  • Luciano Baresi, Politecnico di Milano, Italy
  • Giovanni Quattrocchi, Politecnico di Milano, Italy

Topics of Interest:

Areas of interest include (but not limited to):

  • Architectural Paradigms for the Computing Continuum: Design and Adaptation
  • Seamless Data Management across the Computing Continuum
  • Portability and Interoperability in Web Engineering for the Computing Continuum
  • Performance Optimization Techniques for Computing Continuum Web Services
  • Scalable Web Architectures for Distributed Computing Environments
  • Security Frameworks for Web Applications within the Computing Continuum
  • Efficient Resource Utilization and Management Strategies across the Continuum
  • DevOps Practices for Enhancing Web Service Deployments in the Computing Continuum
  • Standards and Protocols for Seamless Integration across the Computing Continuum
  • Leveraging Machine Learning for Adaptive Web Services in the Computing Continuum
  • Designing User-Centric Web Experiences in Distributed Computing Settings
  •  Analytical Tools and Techniques for Performance Monitoring in the Computing Continuum
  • Sustainable Web Engineering Practices for Energy Efficiency across the Continuum
  • Real-World Applications and Case Studies of Web Engineering in the Computing Continuum
  • Exploring Future Directions and Innovative Approaches in Web Engineering for the
  • Computing Continuum

Submission Guidelines

Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer’s LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. Information about the Springer LNCS format can be found at Springer. Three to five keywords characterizing the paper should be indicated at the end of the abstract.

All submissions must go through EasyChair system via Easychair

Important Dates

  • Submission Deadline: 30 June, 2024
  • Acceptance/Rejection Notification: 30 August, 2024
  • Camera-Ready Files Submission Deadline: 07 September, 2024

Publication

Please note that for every accepted paper, it is required that at least one person registers for the conference and presents the paper. All accepted papers will be included in the proceedings published as Springer’s LNCS series.