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ICFEC 2018 - 2nd IEEE International Conference on Fog and Edge Computing (ICFEC 2018)

Date2018-05-01 - 2018-05-03

Deadline:2017-09-01

VenueWashington, DC, USA - United States USA - United States

Keywords

Websitehttp://www.cloudbus.org/fog/icfec2018/index.html

Topics/Call fo Papers

The Internet of Things (IoT) paradigm promises to make “things” such as physical objects with sensing capabilities and/or attached with tags, mobile objects such as smart phones and vehicles, consumer electronic devices and home appliances such as fridge, television, healthcare devices, as part of the Internet environment. In cloud-centric IoT applications, the sensor data from these “things” is extracted, accumulated and processed at the public/private clouds, leading to significant latencies.
To satisfy the ever increasing demand for Cloud Computing resources from emerging applications such as Internet-of-Things (IoT), academics and industry experts are now advocating for going from large-centralized Cloud Computing infrastructures to micro data centres located at the edge of the network. These micro data centres are often closer to a user (geographically and in access latency) compared to the centralised cloud data centre. The aim of utilizing such edge resources is to off load computation that would have “traditionally” been carried out at the cloud data centre to a resource that is closer to a user or edge devices. This vision also acknowledges the variation in network latency from an end user to cloud data centre. Whereas the network around a data centre is often high capacity and speed, that near the user device may have variably properties (in terms of resilience, bandwidth, latency, etc).
Referred to as “Fog/Edge computing”, this paradigm is expected to improve the agility of cloud service deployments in addition to bringing computing resources closer to end-users. On the one hand, the development of Fog and Edge clouds includes dedicated facilities, operating system, network and middleware techniques to build and operate such micro data centres that host virtualized computing resources. On the other hand, the use of Fog and Edge clouds requires extension to current programming models and propose new abstractions that will allow developers to design new applications that take benefit from such massively distributed systems. The use of this approach also opens up other challenges in: security and privacy (as a user now needs to “trust” every micro data centre they interact with), support for resource management for mobile users who transfer session from one micro data centre to another, and support for “embedding” such micro data centres into devices (e.g. cars, buildings, etc.).
The conference seeks to attract contributions covering both theory and practice of any of the aforementioned challenges, from the management software stack to domain-specific applications.
Dowanload Call For Papers Here
Topics of interest (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
Organisation
General Chairs:
Rajkumar Buyya, University of Melbourne, Australia
Omer Rana, Cardiff University, UK
Program Chairs:
Massimo Villari, University of Messina, Italy
Haiying Shen, University of Virginia, USA
Publication Chairs:
Maria Fazio, University of Messina, Italy
Jia Rao, The University of Texas at Arlington, USA
Steering Committee
Rajkumar Buyya, University of Melbourne, Australia
Adrien Lebre (Inria, France)
Omer Rana, Cardiff University, UK
Anthony Simonet (Inria, France)
Haiying Shen, University of Virginia, USA
Massimo Villari, University of Messina, Italy

Last modified: 2017-09-11 21:18:12