Conference Information
ICFEC 2020: IEEE International Conference on Fog and Edge Computing
Submission Date:
2020-02-11 Extended
Notification Date:
Conference Date:
Melbourne, Australia
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Conference Location
Call For Papers

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
Last updated by Dou Sun in 2020-03-28
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