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ICFEC 2021 : 5th IEEE International Conference on Fog and Edge Computing

Melbourne, Australia
Event Date: May 10, 2021 - May 13, 2021
Submission Deadline: Jan 03, 2021
Notification of Acceptance: Feb 08, 2021
Camera Ready Version Due : Mar 03, 2021

About

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 edge resources, 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 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 Paper

The conference seeks to attract high-quality contributions covering both theory and practice over system software and domain-specific applications related to next-generation distributed systems that use the edge. 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
  • Distributed and federated machine learning on Fog/Edge
  • Performance monitoring and metering of Fog/Edge infrastructures
  • Legal issues and business aspects of 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

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