ICFEC 2023: 7th IEEE International Conference on Fog and Edge Computing Bangalore, India, May 1-4, 2023 |
Conference website | http://icfec2023.ontariotechu.ca/ |
Submission link | https://easychair.org/conferences/?conf=icfec2023 |
Submission deadline | January 21, 2023 |
The 7th IEEE International Conference on Fog and Edge Computing (ICFEC 2023) 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.
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.
Submission Guidelines
Both full and short papers can be be submitted. All papers must be written in English. Manuscripts must include a title, an abstract, and a list of 4-6 keywords. Each full paper is limited to 8 pages, including tables, figures and references. Each short paper is limited to 5 pages, including tables, figures and references. Each paper will be reviewed by at least three TPC members.
Accepted papers will be included in the conference proceedings that will be published through the IEEE Computer Society Conference Publishing Services. All papers must be prepared in the IEEE double column proceedings format. For details, please see https://www.ieee.org/conferences/publishing/templates.html. For publication, each accepted paper is required to be registered by one of its authors. 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.
Further submission information can be found at http://icfec2023.ontariotechu.ca/, paper submissions are possible at is https://easychair.org/conferences/?conf=icfec2023.
IMPORTANT DATES
- Jan. 21, 2023: Paper submission deadline
- Feb. 13, 2023: Author notification
- Mar. 06, 2023: Camera-ready submission
- May 01-04, 2023: Conference (on-site in Bangalore, India)
List of Topics
The conference 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
- Federated learning and distributed 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 computing
- 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
- Modeling and simulation of fog/edge environments
- Performance monitoring and metering of fog/edge infrastructures
- (Big) Data processing in the fog and at the edge
- Energy-efficient fog/edge computing
Committees
General Chairs:
- Yogesh Simmhan, Indian Institute of Science, India
- Blesson Varghese, Queen's University Belfast, UK
- Cristina Abad Robalino, Escuela Superior Politécnica del Litoral (ESPOL), Ecuador
Program Committee Chairs:
- Khalid Elgazzar, Ontario Tech University, Canada
- Stefan Schulte, Hamburg University of Technology, Germany
Contact
The organizing committee of IEEE ICFEC 2023 can be reached via email at stefan.schulte@tuhh.de.