Conference Information
ICFEC 2019: IEEE International Conference on Fog and Edge Computing
Submission Date:
2019-01-31 Extended
Notification Date:
Conference Date:
Larnaca, Cyprus
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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 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 latencies and bandwidth costs.

To satisfy the ever-increasing demand for computing resources from emerging applications such as IoT, academics and industry experts are now advocating to supplement large cloud data centers with micro data centres. These micro data centres, also called Fogs, are located at the edge of the network, closer to a user (in the spatial and/or network topology) than cloud data centres. 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 such edge and fog resources to off-load computation that would traditionally have been carried out at the cloud.

Referred to as “Fog/Edge computing”, this paradigm is expected to improve the agility of cloud service deployments, make use of opportunistic and cheap computing, and leverage the network latency and bandwidth diversities between these resources. On the one hand, the development of fog and edge computing infrastructure requires examining operating systems, virtualization and containers, and middleware techniques for fabric management. On the other hand, the use of fog and edge computing paradigm requires extensions to current programming models and development of new abstractions that will allow developers to design novel applications that can benefit from such massively distributed systems. This also opens up other challenges in: security, privacy and trust of the edge and fog resources; resource management for mobile, transient and constrained resources; distributed data, state and context management; and emerging domains like autonomous vehicles and deep learning over such platforms.

The conference seeks to attract contributions covering both theory and practice over system software and domain-specific applications in these areas. Some representative topics of interest include (but are not limited to):

    Data centers and infrastructures for Fog/Edge Computing
    Middleware for Fog/Edge infrastructures
    Programming models and runtime systems for Fog/Edge Computing
    Scheduling for Fog/Edge infrastructures
    Fog/Edge storage
    Monitoring/metering of Fog/Edge infrastructures
    Fog/Edge Computing applications
    Latency/locality-critical applications
    Legal issues in Fog/Edge clouds
    Security and privacy – including support for new cryptographic approaches
    Modelling Fog/Edge environments – e.g. using process networks, agent-based models, Peer-2-Peer systems, etc.
    Performance monitoring and modelling
    Applications of Fog/Edge Computing
Last updated by Dou Sun in 2018-12-29
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