The Cloud-Edge Continuum is a new hyper-distributed computing paradigm that aims at seamlessly interconnecting and abstracting the computing power and storage capacity of the Cloud with the data processing capabilities of edge devices, IoT devices, and sensors. Intelligently balancing tasks in a continuum enables faster response times, lower latency, and more efficient use of network bandwidth. However, efficiently managing extremely heterogeneous Cloud and Edge resources is a pressing concern in real-world large-scale implementations. Such heterogeneity refers to differences in network capabilities, processing power, software stack, APIs, and security protocols across the Cloud-Edge Continuum infrastructure. This raises significant challenges for the network community to develop new and efficient protocols and communication services. Given the potential benefits of the Cloud-Edge Continuum, it is important to explore the current state-of-the-art research and identify the challenges and opportunities in this area.
The Cloud-Edge Continuum (CEC) workshop aims to bring together researchers and practitioners from academia and industry to discuss the latest research, trends, and challenges in ecosystems and environments based on Cloud-Edge Continuum paradigm. The primary goal of this workshop is to foster collaboration and exchange of ideas among researchers and stakeholders. The workshop can provide a platform for participants to share their experiences, best practices, case studies, and to identify emerging research areas and potential solutions to existing challenges. By bringing together experts from different domains, the CEC workshop also aims to provide insights into how Cloud-Edge Continuum can be applied in various fields, such as healthcare, transportation, smart cities, and manufacturing.
We welcome submissions of original research, work-in-progress, and proof of concepts describing original ideas and presenting new directions. We invite submissions covering the aspects around the design, development, and evaluation of architectures, technologies, and applications for the Cloud-Edge Continuum, including but not limited to:
July 1 July 17, 2023 (8:00 p.m. CET) July 7 July 24, 2023(8:00 p.m. CET)
August 21, 2023
August 31, 2023
Submissions must be original, unpublished work, and not under consideration at another conference or journal. Paper submissions should adhere to the IEEE Conference formatting requirements with double column and the font size must be 10 points. The length of the final paper with all its content (including references) must not exceed 6 pages. Papers must include author’s names and affiliations for single-blind peer reviewing by the PC. Authors of accepted papers are expected to present their papers at the workshop. The IEEE template available here.
Please submit your paper using workshop's CEC'23 HotCRP link.
We invite multiple EU projects working in the area of Cloud-Edge Continuum to present a poster in a dedicated poster session during the CEC'23 workshop. The goal of this session is to allow knowledge sharing among EU projects active in the Cloud-Edge Continuum research and foster collaboration among EU researchers and EU organizations from industry and academia. This session will help stimulate conversations and discussions on challenges and preliminary solutions in Cloud-Edge Continuum with real-world use-cases.
Note: As these posters are by invitation and not peer-reviewed, they will not appear in IEEE proceedings. Get in touch with the CEC'23 organizing committee, if you are interested in joining the workshop and presenting a poster on your EU project.
Steve is a Fellow and Vice President of Data Innovation and Strategy in the Dell Technologies Office of the CTO. He is a long-time inventor in high tech, having filed over 400 patent applications with the USPTO. His innovations and inventions have generated tens of billions of dollars in global customer purchases. His current focus is the trustworthy processing of edge data. He co-founded Project Alvarium, an open-source platform for valuing trustworthy data in a data confidence fabric (DCF). He is driving the exploration of distributed ledger technology with partners such as IOTA and Hedera. Steve earned Bachelor’s and Master’s Degrees in Computer Science from the University of New Hampshire.
Cormac is a Full Professor of Computer Science at University College Cork (UCC) in Ireland, where he has also served as Head of School. Prior to joining UCC in 1999 he was on the research staff at AT&T Labs-Research, Florham Park, NJ, USA and at Bell Labs, Murray Hill, NJ, USA. At UCC he directs the Mobile & Internet Systems Laboratory (MISL), with research activity in multimedia and wireless networking and systems. Prof. Cormac is a Science Foundation Ireland Principal Investigator and has published over 200 peer-reviewed papers, serving on several ACM/IEEE journal editorial boards. His research interests include wireless sensor networks, next generation computer networks, wireless mesh networks, multimedia networking & systems.
Session Chair: Dr. Ahmed Khalid
Title: Project Alvarium and the Rise of Data Confidence Fabrics
Speaker: Steve J. Todd, Fellow at Dell Technologies
Session Chair: Dr. Raúl Gracia-Tinedo
1015-1035: Towards Trust-based Data Weighting in Machine Learning
Authors: Seán Óg Murphy & Cormac J. Sreenan & Utz Roedig (University College Cork), Ahmed Khalid (DELL Technologies)
1035-1055: Architecture for Confidential Digital Asset Transfer on Blockchain through Obfuscation
Authors: Alan Barnett & Sean Ahearne & Matthew Keating (Dell Technologies)
1055-1115: Semantic Programming for IoT-Edge-Cloud Continuum
Authors: Anh Le Tuan & Danh Le Phuoc (TU Berlin), David Bowden (Dell Technologies)
1115-1135: Augmented Reality Integration for Real-time Security and Maintenance in IoT-enabled Smart Campuses
Authors: Khalil Chakal & Mikko Korkiakoski & Hassan Mehmood & Paula Alavesa & Panos Kostakos (University of Oulu), Theodoros Anagnostopoulos (University of West Attica)
1135-1155: Lightweight network-based IoT device authentication in Cloud services
Authors: Tomás Silva & João Casal (TP Portugal Operations, SA), Ricardo Chaves (INESC-ID, IST, ULisboa)
1155-1215: Topology-aware Cognitive Self-protection Framework for Automated Detection and Mitigation of Security and Privacy Incidents in 5G-IoT Networks Authors: Pablo Benllonch-Caballero & Ignacio Sanchez-Navarro & Antonio Matencio Escolar & Qi Wang & Jose M. Alcaraz-Calero (University of the West of Scotland)
Session Chair: Dr. Ahmed Khalid
Title: Life on the Edge: Experiences with Enabling AI
Speaker: Prof. Cormac J. Sreenan, University College Cork, Ireland
NearData: Extreme Near-Data Processing Platform
INTEND: Intent-Based Data Operation In The Computing Continuum
CLEVER: Collaborative edge-cLoud continuum and Embedded AI for a Visionary industry of thE futuRe
GLACIATION: Green responsibLe privACy preservIng dAta operaTIONs
CloudSkin: Adaptive virtualization for AI-enabled Cloud-edge Continuum
SmartEdge: Semantic Low-code Programming Tools for Edge Intelligence
CAMEO: Creating an Architecture for Manipulating Earth Observation data
AI for Edge: The Future of Orchestration in the Computing Continuum
Session Chair: Alan Barnett
1500-1520: The Nanoservices Framework: Co-locating Microservices in the Cloud-Edge Continuum
Authors: Eric Caron & Raúl Gracia-Tinedo (Dell Technologies)
1520-1540: Hardware-Accelerated FaaS for the Edge-Cloud Continuum
Authors: Anastasios Nanos & Charalampos Mainas & George Ntoutsos (Nubificus Ltd, UK), Aristotelis Kretsis & Polyzois Soumplis & Panagiotis Kokkinos & Emmanouel Varvarigos (NTUA, Greece), Aggelos Ferikoglou & Dimitrios Danopoulos & Argyris Kokkinis & Dimosthenis Masouros & Kostas Siozios (Aristotle University of Thessaloniki, Greece), Juan Jose Vegas Olmos (NVIDIA Corporation, Israel)
1540-1600: An AI Factory Digital Twin Deployed Within a High-Performance Edge Architecture
Authors: Sean Ahearne & Ahmed Khalid (DELL Technologies), Martin Ron (Factorio Solutions, Prague), Pavel Burget (Czech Technical University, Prague)
1600-1620: Is Performance of Object Storage Predictable for Serverless I/O Workloads? A Comparative Study
Authors: Germán T. Eizaguirre & Marc Sánchez-Artigas (Universitat Rovira i Virgili)
1620-1640: Performance and Energy Savings Trade-Off with Uncertainty-Aware Cloud Workload Forecasting
Authors: Diego Carraro & Andrea Rossi & Andrea Visentin & Steven Prestwich & Kenneth N. Brown (University College Cork)
1640-1700: An RL-based Model for Optimized Kubernetes Scheduling
Authors: John Rothman & Javad Chamanara (L3S, Hannover, Germany)