CFP
CCGRID2025Workshops: The 25th IEEE International Symposium on Cluster, Cloud, and Internet Computing UiT Tromso, Norway, May 19-22, 2025 |
Conference website | https://site.uit.no/ccgrid2025/ |
Submission link | https://easychair.org/conferences/?conf=ccgrid2025workshops |
Abstract registration deadline | January 10, 2025 |
Submission deadline | February 21, 2025 |
Five Workshops have been selected for CCGRID2025. Here follows the CFPs of the workshops.
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The 3rd Workshop on Urgent Analytics for the Computing Continuum (QUICK'25) in conjunction with IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) 2025
May 19 2025, Tromsø, Norway
Deadline for abstract submission (required): Jan 10, 2025 AoE
Deadline for papers: Jan 17, 2025 AoE
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The Third Workshop on Urgent Analytics for Distributed Computing (QUICK'25) aims to provide a platform that addresses distributed applications that enable important decision-making under time and quality constraints while maintaining desired confidence. We seek scientific contributions that leverage the aggregation of heterogeneous resources along the data path from the Edge to the Cloud and/or HPC, also known as the Computing Continuum, to support critical analytics applications. Data-driven dynamic workflows, which combine knowledge from multiple data sources and integrate it on-demand with large-scale computational models, are some of the canonical use cases for this theme.
We are looking for original high-quality research and position papers on urgent applications, programming models, and resource management software for the computing continuum. Topics of interest for workshop submissions include, but are not limited to:
- Algorithms, models and systems considerations in designing urgent applications in the Computing Continuum
- Programming support for user expectations and constraints in terms of response time, solution quality, data resolution, cost, energy, etc.
- Run-time techniques to provide flexible execution models for computation and communication.
- Resource management frameworks and interfaces supporting scheduling, resource allocations and application execution for the computing continuum.
- Use of AI and ML techniques to steer urgency in systems and applications.
- Application Experiences and policy frameworks using computing continuum infrastructures.
- Autonomic Computing in the Computing Continuum
- Distributed Machine Learning in the Computing Continuum
- Edge Intelligence models and architectures
- Feedback, Control and Observability for the Continuum
Important Dates
Abstract Submission Deadline (required): Jan 10, 2025 AoE
Paper Submission Deadline: Jan 17, 2025 AoE
Author Notification: Feb 14, 2025
Camera ready papers: March 13, 2025
Workshop: May 19, 2025
Submission Guidelines
Authors are invited to submit papers electronically, through EasyChair. The papers should be submitted in PDF, using IEEE format for conference proceedings. Paper length must not exceed 8 pages (including figures, tables and references). Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers determined to be under active review elsewhere will be rejected without review. Submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information.
Publication
All accepted papers will be published as part of the CCGRIDW proceedings (CCGrid Workshops proceedings). All previous CCGrid proceedings have been published by the IEEE and available online through IEEE Digital Library (EI indexing).
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The 1st workshop on Research Infrastructures for experimenting across the HPC-Cloud-Edge continuum (ContinuumRI)
May 19 2025, Tromsø, Norway
Deadline for abstract submission (required): Jan 10, 2025 AoEDeadline for papers: Feb 28, 2025 AoE
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The emergence of new opportunities in AI, networking, edge computing, and IoT creates the potential for new avenues of exploration in science but at the same time challenges our understanding of the role and shape of infrastructure. An effective exploration of the edge-to-cloud continuum requires research infrastructure where those challenges can be investigated, and where new solutions and disruptive ideas can be developed, deployed, tested, and shared. Such infrastructure has to not only support a diversity of hardware configurations, and deployments at scale, as well as deep reconfigurability so that a wide range of experiments can be supported – but also mechanisms and services that will allow the community to share repeatable digital artifacts so that new experiments and results can be easily replicated and help enable further innovation.
This type of research infrastructure (RI) has been implemented in systems like Chameleon (www.chameleoncloud.org), SLICES (www.slices-ri.eu), FABRIC, or the PAWR testbeds (www.pawr.org), many of which address distinct, if overlapping, aspects of this problem. This workshop will provide a forum for the RI designers, engineers, and users to discuss emergent use cases and modes of usage; RI solutions and operations; features that support research in the computing continuum; user interfaces and usability; experimental support for reproducibility; building and sustaining RI user communities; as well as evaluating and sustaining RI.
List of topics of interest:
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emergent use cases
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modes of usage (e.g., reproducibility, teaching with testbeds)
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testbed solutions and features
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testbed infrastructures for computing continuum research
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experimental tools favoring reproducibility
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user interfaces and usability
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building and sustaining user communities
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operations (allocations, support, etc.)
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evaluating the impact of testbeds
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sustainability of testbeds
The workshop organizers:
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Kate Keahey (ANL/U. Chicago)
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Gabriel Antoniu (Inria)
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Christian Perez (Inria)
Submission Guidelines
Authors are invited to submit papers electronically, through EasyChair. The papers should be submitted in PDF, using IEEE format for conference proceedings. Paper length must not exceed 8 pages (including figures, tables, and references). Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers determined to be under active review elsewhere will be rejected without review. Submissions received after the due date, exceeding the length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information.
All accepted papers will be published as part of the CCGRID proceedings (CCGrid Workshops proceedings). All previous CCGrid proceedings have been published by the IEEE and are available online through the IEEE Digital Library (EI indexing).
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The Robotic Systems in the Edge-Cloud Continuum (RISE) 2025 (IEEE CCGRID 2025) Workshop
May 19 2025, Tromsø, Norway
Deadline for abstract submission (required): Jan 10, 2025 AoE
Deadline for papers: Feb 14, 2025 AoE
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Recent advancements in robotics, including autonomous vehicles e.g. UAVs, alongside edge and cloud computing, have paved the way for developing sophisticated robotic systems that harness these technologies.
The RobotIc Systems in the Edge-Cloud Continuum (RISE) workshop brings together leading academics and industry professionals to explore how robotic systems can be designed, implemented, and optimized through the edge-cloud continuum. This workshop also focuses on how hyper-distributed applications’ workloads and data that originate from robots and their sensors, should be processed and stored across devices, multiple edge computing layers, and centralized cloud resources.
The RISE workshop is co-organized by the EMPYREAN project.
We invite submissions of original research, work-in-progress, and proof-of-concept studies introducing novel ideas and innovative directions. We welcome submissions addressing the design, development, and evaluation of architectures, technologies, and applications for robots utilizing the edge-edge continuum, including but not limited to:
Data processing and storage
Distributed and collaborative robotics
IoT, edge-cloud and robotics
AI and machine learning for robotic operations
Recent advancements in robotics, including autonomous vehicles e.g. UAVs, alongside edge and cloud computing, have paved the way for developing sophisticated robotic systems that harness these technologies.
The RobotIc Systems in the Edge-Cloud Continuum (RISE) workshop brings together leading academics and industry professionals to explore how robotic systems can be designed, implemented, and optimized through the edge-cloud continuum. This workshop also focuses on how hyper-distributed applications’ workloads and data that originate from robots and their sensors, should be processed and stored across devices, multiple edge computing layers, and centralized cloud resources.
The RISE workshop is co-organized by the EMPYREAN project.
We invite submissions of original research, work-in-progress, and proof-of-concept studies introducing novel ideas and innovative directions. We welcome submissions addressing the design, development, and evaluation of architectures, technologies, and applications for robots utilizing the edge-edge continuum, including but not limited to:
Data processing and storage
Distributed and collaborative robotics
IoT, edge-cloud and robotics
AI and machine learning for robotic operations
Cybersecurity in edge-cloud and robotics
Edge-cloud networking
Autonomous system control and automation
Digital twins for robotics
Resource orchestration
Processing of sensor data (e.g., LIDAR) within the continuum
Use of hardware accelerators (GPU, DPU, FPGA)
Robotic applications utilizing the continuum
Workshop Organizers:
Professor Emmanouel Varvarigos, Institute of Communications and Computers Systems, NTUA, Greece (vmanos@mail.ntua.gr)
Professor George Nikolakopoulos, Luleå University of Technology, Luleå, Sweden (george.nikolakopoulos@ltu.se)
Professor Georgios Ellinas, KIOS Center of Excellence, University of Cyprus, Cyprus (ellinas.georgios@ucy.ac.cy)
Cybersecurity in edge-cloud and robotics
Edge-cloud networking
Autonomous system control and automation
Digital twins for robotics
Resource orchestration
Processing of sensor data (e.g., LIDAR) within the continuum
Use of hardware accelerators (GPU, DPU, FPGA)
Robotic applications utilizing the continuum
Workshop Organizers:
Professor Emmanouel Varvarigos, Institute of Communications and Computers Systems, NTUA, Greece (vmanos@mail.ntua.gr)
Professor George Nikolakopoulos, Luleå University of Technology, Luleå, Sweden (george.nikolakopoulos@ltu.se)
Professor Georgios Ellinas, KIOS Center of Excellence, University of Cyprus, Cyprus (ellinas.georgios@ucy.ac.cy)
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Workshop on Challenges, Advances and SustainabiliTy in Ai-hpc iNtEracTion (CASTANET)
May 19 2025, Tromsø, Norway
Deadline for abstract submission (required): Jan 10, 2025 AoE
Deadline for papers: Feb 14, 2025 AoE
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The mutual interaction between High-Performance Computing (HPC) and Artificial Intelligence (AI) is an active area of investigation at all levels of the Computing Continuum and involves experts from several disciplines. On the one hand, AI can provide innovative solutions to optimize codes and improve the HPC infrastructures management; on the other hand, HPC methods and tools can offer the computational support required for training increasingly complex and deep AI models. In any case, both areas are known for being among the most energy-intensive, and particular attention to the environmental sustainability of the proposed solutions is of fundamental importance. Mixed precision algorithms, mathematical transformations for filtering out insignificant information in training process, transfer learning and federated learning approaches are just examples of energy aware techniques in this field.
This workshop aims to provide a forum for researchers and practitioners to discuss recent advances, share experiences and best practices, explore new algorithmic and software solutions, and foster collaborations at the intersection of High-Performance Computing and Artificial Intelligence, with special attention to energy sustainability issues.
Workshop organizers
• Salvatore Cuomo – Univ. of Naples Federico II (Italy)
• Fabio Giampaolo – Univ. of Naples Federico II (Italy)
• Marco Lapegna - Univ. of Naples Federico II (Italy)
• Francesco Piccialli - Univ. of Naples Federico II (Italy)
Topics of interest
The topics of interest for submission include, but are not limited to:
• AI-driven optimization of HPC resources
• HPC algorithms and software tools for AI and ML
• Mathematical methods for reducing dataset dimension
• Mixed-precision algorithms for AI and HPC
• Sustainable Machine Learning Architectures
• AI for Energy Management
• HPC for big data analytics and visualization
• Interaction of AI and HPC in the Computing Continuum
• Performance and energy consumption trade-off
• Energy-aware neural network design
• Sustainable AI model training techniques
• AI and HPC for climate change mitigation
• Decentralized AI systems
• Intelligent resource allocation in sustainable computing
• Ethical considerations in AI and HPC energy consumption
Program Committee
• David Camacho - Universidad Politecnica de Madrid (Spain)
• Jesus Carretero - Universidad Carlos III de Madrid (Spain)
• Diletta Chiaro - University of Naples Federico II (Italy)
• Jerry Chun-Wei Lin - Silesian University of Technology (Poland)
• Horacio González-Vélez - National College of Ireland (Ireland)
• Raffaele Montella - University of Naples Pathenope (Italy)
• Edoardo Prezioso - University of Naples Federico II (Italy)
• Diego Romano - Italian National Research Council (Italy)
• Roman Wyrzykowski - Czestochowa University of Technology (Poland)
Paper submission and publication
Paper submission will follow the main conference rules (portal, paper format, reviewing procedure, …). In particular:
• Authors are invited to submit papers electronically, following the links on the main conference website.
• All manuscripts will be peer-reviewed and will be evaluated on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference topics.
• Submissions need to be double-blinded. Authors should not reveal their identity in their submissions. References to past work need to be in a third-person form.
• Submitted manuscripts should not exceed 10 letter size pages (8.5 x 11, IEEE format for conference proceedings), including figures, tables and references.
• Original unpublished research that is not currently under review for any other conference or journal is expected. Papers determined to be under active review elsewhere will be rejected without review.
• Submissions received after the due date or exceeding the length limit will not be considered.
• The proceedings will be published through the IEEE Press and will be made available online through the IEEE and ACM Digital Libraries.
• When submitting the final accepted manuscript, authors may purchase up to two additional pages beyond the original 10 pages (excluding references) to address comments received from the reviewers.
• The workshop organizers plan to organize a Special Issue on primary scientific journals collecting extended versions of the accepted papers as well as other invited significant contributions. Further information will be given before the deadline for paper submission.
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Workshop on Cloud Computing in the 6G Era: Emerging Trends and Challenges (Cloud6G)
May 19 2025, Tromsø, Norway
Deadline for abstract submission (required): Jan 10, 2025 AoE
Deadline for papers: TBD
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The workshop titled "Cloud Computing in the 6G Era: Emerging Trends and Challenges" serves as a pivotal forum for exploring the intersection of cloud computing and the transformative landscape of 6G wireless communication networks. In this era of unparalleled connectivity demands, cloud computing emerges as a linchpin technology, enabling the realization of low-latency, high-bandwidth, and data-intensive applications across diverse domains.
Emerging Trends and Convergence: The workshop will delve into the latest trends that underpin the evolution of cloud computing in the 6G era. Participants will gain insights into cloud-native architectures designed to harness the full potential of 6G networks. The convergence of cloud computing with edge computing will be a central theme, focusing on orchestrating distributed resources to meet the demands of emerging applications in real-time data processing, augmented reality, autonomous systems, and smart cities.
Challenges and Innovative Solutions: This workshop provides a platform for a profound exploration of the challenges inherent in this dynamic landscape. Security in distributed systems, resource optimization in the face of evolving demands, and network orchestration for maximum efficiency will be dissected. Participants will engage in discussions and presentations led by experts, addressing innovative solutions to these challenges.
Applications and Impact: The workshop will showcase a spectrum of real-world use cases that leverage cloud computing in the 6G era. From immersive augmented reality experiences that rely on instantaneous data processing to autonomous vehicles that demand split-second decision-making capabilities, attendees will witness the tangible impact of cloud technologies. Furthermore, discussions will extend to how cloud computing facilitates the creation of intelligent edge computing solutions, ultimately driving innovation in domains such as healthcare, transportation, and environmental monitoring.
Community Building: Beyond its academic and technical focus, this workshop seeks to foster a vibrant community of researchers, practitioners, and industry experts. Participants will have the opportunity to connect, collaborate, and share insights. It's an invitation to shape the future of distributed computing, forging alliances that will drive innovation in the 6G era and beyond.
The workshop titled "Cloud Computing in the 6G Era: Emerging Trends and Challenges" holds significant appeal for a diverse audience interested in the intersection of cloud computing and the forthcoming 6G era.
1. Relevance to Researchers and Academics:
Researchers and academics will find this workshop compelling due to its exploration of cutting-edge trends in cloud computing within the context of 6G networks. The workshop will provide a platform for disseminating and discussing the latest research findings, making it a valuable forum for scholars seeking to contribute to this evolving field.
2. Practical Insights for Industry Professionals:
Industry professionals, including IT practitioners and professionals working in telecommunications and network management, will discover practical insights to navigate the complexities of the 6G era. This workshop offers opportunities to gain a deeper understanding of how cloud computing can be harnessed to drive innovation, optimize operations, and meet the demands of data-intensive applications.
3. Innovation and Collaboration:
Innovators and technology enthusiasts will be drawn to this workshop as it promises to shed light on innovative use cases and solutions at the crossroads of cloud computing and 6G networks. Collaboration opportunities abound, making it an ideal space for forging partnerships and exploring entrepreneurial ventures in this dynamic technological landscape.
4. Bridging the Gap for Students and Enthusiasts:
Students and technology enthusiasts keen on exploring the future of distributed computing will find this workshop an invaluable learning experience. It provides a bridge between theoretical knowledge and practical application, offering a glimpse into the real-world impact of cloud computing in the 6G era.
In summary, the workshop's broad appeal extends to researchers, academics, industry professionals, innovators, students, and technology enthusiasts alike. It serves as a convergence point for knowledge exchange, collaborative discussions, and hands-on exploration, making it a valuable opportunity for anyone interested in shaping the future of distributed computing in the 6G era.
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The 5th International Workshop on Secure Mobile Computer Systems ( IWoSeMCS-25)
May 19 2025, Tromsø, Norway
Deadline for abstract submission (required): Jan 10, 2025 AoE
Deadline for papers: Feb 21, 2025 AoE
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The problems related to privacy and security are still challenging, especially in mobile distributed systems. The system end-users now use mobile devices and services for applications under the data-intensive paradigm, such as Skyline queries, streaming information relays, and crowd-sourced disaster management. However, the above paradigm shift has opened newer research directions in security, data interoperability, sustainable software development and many other areas.
This workshop primarily encompasses practical approaches that advance research in handling large amounts of data securely in the cloud, mobile nodes and cloud-connected Edge clusters such as in MANETs and Wireless Sensor Networks. Successful contributions may range from advanced technologies, applications and innovative solutions for secure clouds to developing methods and conceptual and theoretical models related to secure management, monitoring, scheduling and resource allocation.
Recommended topic areas include, but are not limited to:
Mobile systems for security-aware data gathering and assimilation
Mobile edge and fog secure models and infrastructures
Mobile secure multi-agent systems
Machine learning–based models and simulators of mobile clouds
Advanced security and privacy mechanisms in smartphones and tablets
Scalable identity and authentication protocols in mobile systems
Security-aware resource allocation and scheduling in mobile networks
Secure communication in Smart Grid installations using Mobile Ad Hoc Network protocol
Wireless Sensor Node applications for Smart Grid
Secure 5G applications for Smart Grid
Economical models in secure mobile networks
Secure mobile network applications
Security testing of mobile and embedded devices
SUBMISSION GUIDELINES
Please visit this page (https://iwosemcs-workshop.eu/paper-submissions/) to read more.
INTERNATIONAL PROGRAMME COMMITTEE
All submitted papers will be reviewed by the workshop technical program committee members following similar criteria used in CCGRID.