License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.Fog-IoT.2020.1
URN: urn:nbn:de:0030-drops-119954
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2020/11995/
Calheiros, Rodrigo N.
Fog and Edge Computing: Challenges and Emerging Trends (Invited Talk)
Abstract
Just as the trend of data and computing consolidation via cloud computing starts to fade out, new paradigms that can better handle the unique demand of Internet of Things (IoT) and Big Data emerged in the form of edge and fog computing. Although the literature provides different accounts for the differences between these emerging paradigms, they both rely on computing and storage devices that are closer to IoT devices and users than regular cloud data centers. With the advantage of smaller latencies, they introduce issues such as higher complexity for application development and deployment. In this talk, I will present the context in which these paradigms developed, challenges inhibiting their adoption, and emerging approaches to address some of these issues.
BibTeX - Entry
@InProceedings{calheiros:OASIcs:2020:11995,
author = {Rodrigo N. Calheiros},
title = {{Fog and Edge Computing: Challenges and Emerging Trends (Invited Talk)}},
booktitle = {2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)},
pages = {1:1--1:1},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-95977-144-3},
ISSN = {2190-6807},
year = {2020},
volume = {80},
editor = {Anton Cervin and Yang Yang},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2020/11995},
URN = {urn:nbn:de:0030-drops-119954},
doi = {10.4230/OASIcs.Fog-IoT.2020.1},
annote = {Keywords: Cloud computing, Fog computing, Edge computing, Internet of Things}
}
Keywords: |
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Cloud computing, Fog computing, Edge computing, Internet of Things |
Collection: |
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2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020) |
Issue Date: |
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2020 |
Date of publication: |
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08.04.2020 |