4th IEEE International Conference on Fog and Edge Computing (ICFEC 2020)

11-14 May, 2020, May 2021

The in-person 2020 conference has been merged with ICFEC 2021 due to COVID-19 pandemic. The authors of 2020 will present their work in the 2021 edition. The conference will be co-located with CCGRID 2021. The proceedings for ICFEC 2020 will continue to appear in 2020 itself.

Melbourne, Australia
In conjunction with IEEE/ACM CCGrid 2020/2021

URL: http://dream-lab.cds.iisc.ac.in/icfec2020/

We are delighted to invite you to Melbourne, Australia for the 4th IEEE International Conference on Fog and Edge Computing. The Conference will be held as part of and in conjunction with IEEE/ACM CCGrid, 2020, which is sponsored by the IEEE Computer Society and ACM.


The Internet of Things (IoT) paradigm is incorporating “things” from the physical world into the Internet environment to enhance the monitoring and intelligent control of physical, digital and social systems. Such things include smart infrastructures like power grids with sensing and actuation capabilities, mobile platforms like smart phones and vehicles, and consumer electronics and appliances such as refrigerators and healthcare devices. In conventional cloud-centric IoT applications, the observational streams from these things at the edge of the network are extracted, accumulated and processed centrally at public/private clouds, and the responses are communicated back to the things, leading to significant latency and bandwidth costs.

To meet the ever-increasing demand for computing resources from distributed applications in the wide area network, academics and industry experts are advocating the use of micro data centers to supplement large cloud data centers. These micro data centers, also called fog resources, are located at the edge of the network, closer to a user in the spatial and/or network topology than cloud data centers. Further, edge devices such as smart phones and gateways themselves have non-trivial compute capacity and are even closer to the user. As a result, it is possible to utilize both the edge and fog resources to off-load computation that would traditionally have been carried out on the cloud.

The “Fog/Edge computing paradigm” is expected to improve the agility of service deployments, make use of opportunistic and cheap computing, and leverage the network latency and bandwidth diversities between these resources. Numerous challenges arise when using fog and edge computing infrastructure, which requires the re-examination of operating systems, virtualization and containers, and middleware techniques for fabric management. Extensions to current programming and storage models are required and new abstractions that will allow developers to design novel applications that can benefit from  massively distributed and data-driven systems need to be developed. Addressing security, privacy and trust of the edge and fog resources is of paramount importance while managing the resources and context for mobile, transient and hardware constrained resources. Lastly, emerging domains like autonomous vehicles and machine/deep learning need to be supported over such platforms.

Call for papers

The conference seeks to attract high-quality contributions covering both theory and practice over system software and domain-specific applications related to Edge, Fog and Cloud computing. Some representative topics of interest include, but are not limited to:

  • Data centers and infrastructures for 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 computing
  • Scheduling for Fog/Edge infrastructures
  • Performance monitoring and metering of Fog/Edge infrastructures
  • Legal issues in Fog/Edge computing
  • Security, privacy, trust and provenance issues in Fog/Edge computing
  • Modelling and simulation of Fog/Edge environments
  • Novel, latency-sensitive and locality-critical applications of Fog/Edge computing

Download Call For Papers here

Submission Instructions

ICFEC will have two rounds of submissions, Early and Regular. Papers submitted to either rounds will be evaluated by the same program committee using the same evaluation criteria. Papers not accepted in the Early Submission round may resubmit a revised version to the Regular submission round provided significant changes have been made to address the reviewer comments. In such cases, a 2-page rebuttal summarizing the changes made must be included in the appendix (excluded from the page limit), and the title of the paper be prefixed  with “Revision:”.

We invite authors to submit original manuscripts that have neither been published elsewhere nor are under review at a different venue. The manuscripts should be structured as technical papers, written in English. Authors should submit papers electronically in PDF format and may not exceed 10 letter-size pages in length, including all figures, tables and references. Papers should follow the IEEE format template for conference proceedings available at http://www.ieee.org/conferences_events/conferences/publishing/templates.html. Submissions not conforming to these guidelines or received after the due date may be returned without review. All manuscripts will be reviewed and judged on originality, technical strength, significance, quality of presentation, and relevance to the conference attendees.

Papers may be submitted online at https://www.easychair.org/conferences/?conf=icfec2020

Important Dates

Early Submission

  • Papers due: November 23, 2019 December 6, 2019 (updated)
  • Author notifications of Acceptance: January 10, 2020
  • Camera Ready Paper: March 28, 2020 10 April, 2020

Regular Submission

  • Papers due: January 31, 2020 February 11, 2020 AoE (updated)
  • Author notifications of Acceptance: March 7, 2020
  • Camera Ready Paper: March 28, 2020 10 April, 2020

Registration Dates: March 10 March 27, 2020 (Aligned with CCGRID Deadlines)


Papers that are accepted for publication may be accepted as REGULAR paper (10 pages) or SHORT papers (6 pages), depending on the reviewer recommendations. Accepted papers will included in the conference proceedings that will be published through the IEEE Computer Society Conference Publishing Services.

Special Issue

Authors of papers that are highly rated from the review rounds of ICFEC 2020 may be invited to submit an extended version to a special issue that we expect to appear with the Journal of Software: Practice and Experience (SPE) published by Wiley Press. Further information  will be posted after the conference concludes.

Accepted Papers

The conference proceedings are available at https://www.computer.org/csdl/proceedings/icfec/2020/1lsaBCX3j2w. Due to COVID-19, the papers will be presented by the authors as part of ICFEC 2021.

Full Papers

Efficient Hosting of Robust IoT Applications on Edge Computing Platform
by Cosmin Avasalcai, Bahram Zarrin, Paul Pop, Schahram Dustdar
A Multi-Weight Strategy for Container Consolidation
by Najet Hamdi, Walid Chainbi
Comparison of Alternative Architectures in Fog Computing
by Vasileios Karagiannis, Stefan Schulte
Modelling Fog Offloading Performance
by Ayesha Abdul Majeed, Peter Kilpatrick, Ivor Spence, Blesson Varghese
Priority-based Fair Scheduling in Edge Computing
by Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese
Sunstone: Navigating the Way Through the Fog
by Julien Gedeon, Sebastian Zengerle, Sebastian Alles, Florian Brandherm, Max Muhlhauser
SessionStore: A Session-Aware Datastore for the Edge
by Seyed Hossein Mortazavi, Mohammad Salehe, Bharath Balasubramanian, Eyal de Lara, Shankaranarayanan PuzhavakathNarayanan
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
by Anirban Bhattacharjee, Ajay Dev Chhokra, Hongyang Sun, Shashank Shekhar, Aniruddha Gokhale, Gabor Karsai, Abhishek Dubey

Short Paper

Mobility-aware computation offloading in edge computing using prediction
by Erfan Farhangi Maleki, Lena Mashayekhy


General Chairs

  • Rajkumar Buyya, University of Melbourne, Australia
  • Haiying Shen, University of Virginia, USA

Program Chairs

Publicity Chair

  • Zhuozhao Li, University of Chicago, USA


Steering Committee

  • Rajkumar Buyya, University of Melbourne, Australia
  • Adrien Lebre (Inria, France)
  • Omer Rana, Cardiff University, UK
  • Anthony Simonet (Inria, France)
  • Haiying Shen, University of Virginia, USA
  • Massimo Villari, University of Messina, Italy

Program Committee

  • Anshu Shukla, Ericsson
  • Antonio Brogi, University of Pisa
  • Aravinda Rao, The University of Melbourne
  • Ashish Tanwer, Cisco
  • Bivas Mitra, Indian Institute of Technology Kharagpur
  • Chenxi Qui, Rowan University
  • Cheol-Ho Hong, Chung-Ang University
  • David Bermbach, TU Berlin
  • Devki Nandan Jha, Newcastle University
  • Eyal De Lara, University of Toronto
  • Hossein Fotouhi, Mälardalen University
  • Husnu Narman, Marshall University
  • In Kee Kim, University of Georgia
  • Ioan Petri, Cardiff University
  • Ivan Rodero, Rutgers University
  • Jinwei Liu, Florida A&M University
  • Jiong Jin, Swinburne University of Technology
  • Kanchana Thilakarathna, The University of Sydney
  • Kang Chen, Southern Illinois University
  • Kejiang Ye, SIAT, Chinese Academy of Sciences
  • Lena Mashayekhy, University of Delaware
  • Lin Wang, Vrije Universiteit Amsterdam, The Netherlands
  • Luiz F. Bittencourt, University of Campinas
  • Maria Alejandra Rodriguez Sossa, The University of Melbourne
  • Maria Fazio, University of Messina
  • Md.Redowan Mahmud, The University of Melbourne
  • Mohammad Shojafar, University of Padua, Italy
  • Mohsen Amini Salehi, University of Louisiana Lafayette
  • Nan Wang, Durham University
  • Nitin Auluck, Indian Institute of Technology, Ropar
  • Paul Harvey, Rakuten Mobile
  • Rafael Tolosana-Calasanz, Universidad de Zaragoza
  • Reza Tourani, Saint Louis University
  • Schahram Dustdar, Vienna University of Technology
  • Srikumar Venugopal, IBM
  • Srinivasan Iyengar, Microsoft
  • Stefan Schulte, Vienna University of Technology
  • Sukhpal Singh Gill, Queen Mary University of London
  • Valeria Cardellini, University of Roma “Tor Vergata”
  • Xiao Liu, Deakin University
  • Yifan Zhang, SUNY Binghamton
  • Zhuozhao Li, University of Chicago
  • Zichuan Xu, Dalian University of Technology