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LOCATION: Taormina (Messina)


Conference Date: 18-19 May, 2022

Paper submission Deadline:
January 14, 2022 (Firm deadline)


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Breakout and Networking Session

Date/Time: TBA


ICFEC 2022

Billions of devices and sensors ranging from user gadgets to more complex The number of Internet-of-Things (IoT) devices is predicted to reach 38.6 billion by 2025. These connected devices, ranging from user devices to more complex systems, such as vehicles and power grids, are equipped with sensing, actuating, communication, processing, and storage capabilities, and they generate huge amounts of data of various types. However, the need to operate the scale of heterogeneous IoT devices while being performance-efficient in real-time is challenging. Typically, the data generated by the IoT devices are transferred to and processed centrally by services hosted on geographically distant clouds. This is untenable given the communication latency incurred and the ingress bandwidth demand.

A new and disruptive paradigm spear-headed by academics and industry experts is taking shape so that applications can leverage resources located at the edge of the network and along the continuum between the cloud and the edge. These edge resources may be geographically or in the network topology closer to IoT devices, such as home routers, gateways, or more substantial micro data centers. Edge resources may be used to offload selected services from the cloud to accelerate an application or to host edge-native applications. The paradigm within which the edge is harnessed is referred to as "Fog/Edge computing".

The Fog/Edge computing paradigm is expected to improve the agility of service deployments, to allow the usage of opportunistic and cheap computing, and to leverage the network latency and bandwidth diversities between these resources. Numerous challenges arise when using edge resources, which require the re-examination of operating systems, virtualization and containers, and middleware techniques for fabric management. 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 and data-driven edge systems. Addressing security, privacy, and trust of the edge resources is of paramount importance while managing the resources and context of mobile, transient and hardware-constrained resources. The integration of edge computing and 5G will also bring new opportunities and unique challenges. Enabling machine/deep learning at the edge is critical for many applications. Lastly, emerging domains like autonomous vehicles and smart health need to be supported by fog and edge resources.

Call for Papers

Download the PDF call for papers here

The IEEE International Conference on Fog and Edge Computing seeks to attract high-quality contributions covering both theory and practice over systems research and emerging domain-specific applications related to next-generation distributed systems that use the edge and the fog. Some representative topics of interest include, but are not limited to:


  • Data centers and infrastructures for fog/edge computing
  • Mobility management in fog/edge computing
  • Distributed and federated machine learning in the fog and on the edge
  • 5G and fog/edge computing
  • Middleware and runtime systems for fog/edge infrastructures
  • Programming models for fog/edge computing
  • Storage and data management platforms for fog/edge
  • Scheduling and resource management for fog/edge infrastructures
  • Security, privacy, trust and provenance issues in fog/edge computing
  • Distributed consensus and blockchains at the edge and in the fog
  • Modelling and simulation of fog/edge environments
  • Performance monitoring and metering of fog/edge infrastructures
  • Innovative, latency-sensitive and locality-critical applications of fog/edge computing

Accepted Papers and Program

May 18, 2022

Session I: Networking Aspects [10:15 AM - 11:15 AM] Chair: Stefan Schulte
SIMORA: SIMulating Open Routing protocols for Application interoperability on edge devices
Benjamin Warnke, Yuri Cotrado Sehgelmeble, Johann Mantler, Sven Groppe and Stefan Fischer
Evaluation of Control over the Edge of a Configurable Mid-band 5G Base Station (Short Paper)
Haorui Peng, William Tärneberg, Kaan Bür, Emma Fitzgerald, Fredrik Tufvesson and Maria Kihl

Session II: Machine Learning and Data Streams [11:45 AM - 1:15 PM] Chair: Radu Prodan
Sparse Communication for Federated Learning
Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Pattara Leelaprute and Hajimu Iida
When IoT Data Meets Streaming in the Fog
Lydia Ait Oucheggou, Mohammed Islam Naas, Yassine Hadjadj-Aoul and Jalil Boukhobza
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams (Short Paper)
Soeren Becker, Dominik Scheinert, Florian Schmidt and Odej Kao

Session III: Online Session [4:30 PM - 6:00 PM] Chair: Lena Mashayekhy
SDN-based Service Discovery and Assignment Framework to Preserve Service Availability in Telco-based Multi Access Edge Computing (Short Paper)
Amirhossein Ghorab, Mohammed Abuibaid and Marc St-Hilaire
iSample: Intelligent Client Sampling in Federated Learning
Hamidreza Imani, Jeff Anderson and Tarek El-Ghazawi
Specification and Operation of Privacy Models for Data Streams on the Edge (Short Paper)
Boris Sedlak, Ilir Murturi and Schahram Dustdar

May 19, 2022

Session IV: Resource Allocation [9:00 AM - 11:00 AM] Chair: Lorenzo Carnevale
FaDO: FaaS Functions and Data Orchestrator for Multiple Serverless Edge-Cloud Clusters
Christopher Peter Smith, Anshul Jindal, Mohak Chadha, Michael Gerndt and Shajulin Benedict
QoS-Aware Resource Placement for LEO Satellite Edge Computing
Tobias Pfandzelter and David Bermbach
High-Level Metrics for Service Level Objective-aware Autoscaling in Polaris: a Performance Evaluation (Short Paper)
Nicolò Bartelucci, Paolo Bellavista, Thomas Pusztai, Andrea Morichetta and Schahram Dustdar
Optimal Timing for Bandwidth Reservation for Time-Sensitive Vehicular Applications (Short Paper)
Abdullah Al-Khatib, Faisal Al-Khateeb, Abdelmajid Khelil and Klaus Moessner

Session V: Miscellaneous Topics [11:30 AM - 1:00 PM] Chair: Antonino Galletta
FogTMDetector - Fog Based Transport Mode Detection using Smartphones
Mahdieh Kamalian and Paulo Ferreira
Good Shepherds Care For Their Cattle: Seamless Pod Migration in Geo-Distributed Kubernetes
Paulo Souza, Daniele Miorandi and Guillaume Pierre
Edge Workload Trace Gathering and Analysis for Benchmarking
Klervie Toczé, Norbert Schmitt, Ulf Kargén, Atakan Aral and Ivona Brandic

Note: All ICFEC presentations will take place in Room C

All accepted papers will be published by IEEE Computer Society Press (EI-Index) and included in the IEEE Digital Library. For publication, each accepted paper is required to be registered by one of its authors, and at least one author is required to attend and present the paper at the conference for the paper to be included in the final technical program and the IEEE Digital Library.


ICFEC 2022 Committees

General Chairs:
Program Chairs:
Steering Committee:
Publicity Chairs:
Program Committee:
  • Atakan Aral, University of Vienna
  • Christian Becker, University of Mannheim
  • David Bermbach, TU Berlin
  • Luiz F. Bittencourt University of Campinas
  • Valeria Cardellini, University of Roma "Tor Vergata"
  • Lucy Cherkasova, ARM Research
  • Alexandre da Silva Veith, University of Toronto
  • Luca Davoli, University of Parma
  • Schahram Dustdar, Vienna University of Technology
  • Khalid Elgazzar, University of Louisiana at Lafayette
  • Maria Fazio, University of Messina
  • Valerio Frascolla, Intel
  • Sukhpal Singh Gill, Queen Mary University of London
  • Aniruddha Gokhale, Vanderbilt University
  • Daniel Grosu, Wayne State University
  • Vasileios Karagiannis, Siemens
Program Committee (continued):
  • Hana Khamfroush, University of Kentucky
  • Boris Koldehofe, University of Groningen
  • Chandra Krintz, UC Santa Barbara
  • Adrien Lèbre, Inria/Ecole des Mines
  • Laurent Lemarchand, Lab-STICC UBO UEB
  • Sérgio I. Lopes, ESTG/IPVC
  • Kwangsung Oh, University of Nebraska at Omaha
  • Panos Patros, University of Waikato
  • Guillaume Pierre, Univ Rennes, Inria, CNRS, IRISA
  • Padmanabhan Pillai, Intel
  • Radu Prodan, University of Klagenfurt
  • Ivan Rodero, Rutgers University
  • Olena Skarlat, A1 Austria Telekom Group, Austria
  • Hong-Linh Truong, Aalto University
  • Lin Wang, Vrije Universiteit Amsterdam
  • Shiqiang Wang, IBM


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