Fwd: [TCCC-ANNOUNCE] [CFP] The 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022)
-------- Ursprüngliche Nachricht -------- Von: Zhuozhao Li zl5uq@VIRGINIA.EDU Gesendet: 18. Oktober 2021 04:23:34 MESZ An: tccc-announce@COMSOC.ORG Betreff: [TCCC-ANNOUNCE] [CFP] The 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022)
[Apologies if you receive multiple copies of this CFP]
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The 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022)
May 16, 2022, Taormina (Messina), Italy
in conjunction with IEEE/ACM CCGrid 2022
URL: https://icfec2022.eecis.udel.edu/
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We are delighted to invite you to the 6th IEEE International Conference on Fog and Edge Computing to be held in Taormina (Messina), Italy.
INTRODUCTION
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.
CALL FOR PAPERS
The conference 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:
* Data centers and infrastructures for fog/edge computing
* Mobility management in fog/edge computing
* Distributed and federated machine learning in the fog and on the edge
* 5G and 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 and resource management for fog/edge infrastructures
* Security, privacy, trust and provenance issues in fog/edge computing
* Distributed consensus and blockchains at the edge and in the fog
* Modeling and simulation of fog/edge environments
* Performance monitoring and metering of fog/edge infrastructures
* Innovative, latency-sensitive and locality-critical applications of fog/edge computing
SUBMISSION INSTRUCTIONS
We invite original manuscripts that have neither been published elsewhere nor are under review at a different venue. Papers should follow the IEEE template for conference proceedings. Authors should submit papers, written in English, electronically in PDF format and may not exceed 8 letter-size pages in length, including all figures, tables, and references. All manuscripts will be reviewed and judged on originality, technical strength, significance, presentation, and relevance to the conference by at least three reviewers.
Papers may be submitted online at https://easychair.org/conferences/?conf=icfec22
IMPORTANT DATES
* Paper submissions: January 7, 2022
* Notifications: February 13, 2022
* Camera-ready due: March 6, 2022
PUBLICATION
Papers that are accepted for publication may be accepted as REGULAR paper (8 pages) or SHORT papers (5 pages), depending on the reviewer recommendations. Accepted papers will be included in the conference proceedings that will be published through the IEEE Computer Society Conference Publishing Services.
ORGANIZATION
General Chairs
* Yogesh Simmhan, Indian Institute of Science, India
* Blesson Varghese, Queen's University Belfast, UK
Program Chairs
* Stefan Schulte, Hamburg University of Technology, Germany (stefan.schulte@tuhh.de mailto:stefan.schulte@tuhh.de )
* Lena Mashayekhy, University of Delaware, USA (mlena@udel.edu mailto:mlena@udel.edu )
Steering Committee:
* Rajkumar Buyya, University of Melbourne, Australia
* Adrian Lebre, INRIA, France
* Omer Rana, Cardiff University, UK
* Haiying Shen, University of Virginia, USA
* Yogesh Simmhan, Indian Institute of Science, India
* Anthony Simonet, iExec Blockchain Tech, France
* Blesson Varghese, Queen's University Belfast, UK
* Massimo Villari, University of Messina, Italy
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participants (1)
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Lars Wolf