
The 9th IEEE International Conference on Fog and Edge Computing (ICFEC 2025) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in the fields of fog and edge computing. ICFEC 2025 will take place in conjunction with The 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2025).
Fog and edge computing have received much attention by both the research community and the industry in recent years, and are today seen as an alternative to the utilization of cloud-based computational resources. Especially, this is the case in scenarios where large amounts of data are produced in distributed settings, e.g., in the Internet of Things (IoT), where data needs to be processed in (near) real time, or where suboptimal network connectivity hampers the upload of very large amounts of data to the cloud. Use cases for fog and edge computing range from smart factories over smart grids to autonomous vehicles, to name just some examples.
While tremendous progress has already been made in the research fields of fog and edge computing, there are still numerous challenges which need to be solved. New abstractions and extensions to current programming and storage models are necessary to allow developers to design novel applications that can benefit from massively distributed fog and edge systems. Addressing security, privacy, and trust is of paramount importance while managing the resources and context of mobile, transient and hardware-constrained resources. Fog and edge computing can also help to process very large amounts of data, both for batch processing and data streams. The integration of novel communication protocols and communication patterns with fog and edge computing also brings both new opportunities and unique challenges. Recently, the utilization of fog and edge resources in order to realize distributed machine learning in the form of federated learning has also gained much traction, since it allows to learn from local data without sharing raw data with any centralized entity.
1. Optimising Intrusion Detection Systems in Cloud-Edge Continuum with Knowledge Distillation for Privacy-Preserving and Efficient Communication Authors: Soad Almabdy and Amjad Ullah |
2. ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction Authors: Narges Mehran, Nikolay Nikolov, Radu Prodan, Dumitru Roman, Dragi Kimovski, Frank Pallas and Peter Dorfinger |
3. Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications Authors: Mohammadreza Malekabbasi, Tobias Pfandzelter and David Bermbach |
1. FTFormer: Fault-Tolerant Layer Offloading in Edge-Fog-Cloud Federated Split Learning Authors: Jianbo Zhang, Bipul Thapa and Lena Mashayekhy |
2. Neural Network-Enhanced Self-Organization for Efficient Resource Allocation in Distributed Edge Computing Environments Authors: Samira Hayat, Melanie Schranz and Loris Cannelli |
3. Ant Colony Optimization for Data Search and Movement in the Edge-Fog-Cloud Continuum Authors: Oleksandr Chepizhko, Péter Forgács and Melanie Schranz |
1. Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum Authors: Amjad Ullah, Andras Markus, Hacı İsmail Aslan, Tamas Kiss, Jozsef Kovacs, James Deslauriers, Amy L. Murphy, Yiming Wang and Odej Kao |
2. Vehicle Density-Aware Adaptive Offloading for UAV-Based Road Traffic Monitoring Authors: Mohammad Dwipa Furqan, Fumio Machida and Ermeson Andrade |
3. FedCCL: Federated Clustered Continual Learning Framework for Privacy-focused Energy Forecasting Authors: Michael A. Helcig and Stefan Nastic |
4. Real-time Object Tracking on the Edge Authors: Mohna Kundurthi, Tamil Selvan Gurunathan, Md Azim Khan, Muhammad Shehrose Raza and Aryya Gangopadhyay |
We invite original manuscripts that have neither been published elsewhere nor are under review at a different venue. Papers should follow the IEEE template for conference proceedings. Authors should submit papers, written in English, electronically in PDF format, and may not exceed 8 letter-size pages in length, including all figures, tables, and references. Apart from full papers, authors may also submit poster papers, which may not exceed 2 pages in length. All manuscripts will be reviewed and judged on originality, technical strength, significance, presentation, and relevance to the conference by at least three reviewers. Papers may be submitted online at Easychair. Papers that are accepted for publication may be accepted as REGULAR papers (8 pages), SHORT papers (5 pages) or POSTER papers (2 pages), depending on the reviewers' recommendations. Accepted regular, short, and poster papers will be included in the conference proceedings that will be published through the IEEE Computer Society Conference Publishing Services.
ICFEC 2025 is a physical event with the aim of bringing together the technical community in-person, and giving them the opportunity to network, communicate, share new ideas and learn new insights, ranging from research topics to diversity challenges. We do not offer a virtual option for attendance.
• Author registration deadline is March 20, 2025. Non-author early registration deadline is April 14, 2025.
• At least one author of an accepted conference/workshop/ICFEC paper must register at the IEEE member or Non-Member price by March 14, 2025. An author with multiple accepted conference papers may receive a discount of NOK 2875 for each additional paper registration.
• Member registration rates are available for professional members of IEEE.
• The conference paper page limit is 8. The short paper page limit is 5.
• Registration can be canceled on or before April 20, 2025. An administrative fee of NOK 1000 will be deducted from each refund.
• Registration includes access to conference and workshop rooms, proceedings, food (lunches and breaks), gala dinner, social event, goodies, and one-week bus tickets.
• A limited number of hotel rooms are available on the registration page.
• For registration questions, please email kai-even.nilssen@uit.no and tina.rishaug@uit.no.
The ICFEC 2025 will take place at UiT The Arctic University of Norway in Tromsø. The university is located close to the city center of Tromsø and can easily be reached by bus or car. To navigate around campus, we recommend using MazeMap. For details see the link: https://site.uit.no/ccgrid2025/venue-and-stay/
© Copyright: ICFEC 2025