LOCATION: Taormina (Messina)Italy
Conference Date: 16 May, 2022Paper submission Deadline: January 7, 2022
Breakout and Networking SessionDate/Time: TBA
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.
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:
IEEE ICFEC 2022 solicits research papers describing novel and previously unpublished scientific contributions to the field of fog and edge computing.
Two different types of papers can be submitted:
Regular papers should describe novel and previously unpublished scientific contributions to the field of fog and edge computing. Each regular paper is limited to 8 pages, including tables, figures, and references.
Short papers aim at presenting novel work in progress, novel applications, and novel industry perspectives in the field of fog and edge computing. Each short paper is limited to 5 pages, including tables, figures, and references. Short papers will also be peer-reviewed, however, they will be evaluated with a focus on the potential for establishing new ideas and for sparking the interest of participants.
All papers must be written in English. Manuscripts must include a title, an abstract, and a list of 4-6 keywords. All papers must be prepared in the IEEE double-column proceedings format. Please see: https://www.ieee.org/conferences/publishing/templates.html
IEEE ICFEC 2022 applies a single-blind review policy. All submitted papers will be peer-reviewed by at least three members of the program committee.
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