Fog computing: a cloud to the ground support for smart things and machine-to-machine networks

Stojmenovic,I and Wen,S 2014, Fog computing: a cloud to the ground support for smart things and machine-to-machine networks, in ATNAC 2014 : Proceedings of the 2014 Australasian Telecommunication Networks and Applications Conference, IEEE, Piscataway, N.J., pp. 117-122, doi: 10.1109/ATNAC.2014.7020884.

Attached Files
Name Description MIMEType Size Downloads

Title Fog computing: a cloud to the ground support for smart things and machine-to-machine networks
Author(s) Stojmenovic,I
Wen,S
Conference name Australasian Telecommunication Networks and Applications. Conference (2014 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 2014/11/26 - 2014/11/28
Title of proceedings ATNAC 2014 : Proceedings of the 2014 Australasian Telecommunication Networks and Applications Conference
Editor(s) [Unknown]
Publication date 2014
Conference series Australasian Telecommunication Networks and Applications Conference
Start page 117
End page 122
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Fog computing
Machine-to-machine networks
Summary Cloud services to smart things face latency and intermittent connectivity issues. Fog devices are positioned between cloud and smart devices. Their high speed Internet connection to the cloud, and physical proximity to users, enable real time applications and location based services, and mobility support. Cisco promoted fog computing concept in the areas of smart grid, connected vehicles and wireless sensor and actuator networks. This survey article expands this concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios. Our literature review identifies a handful number of articles. Cooperative data scheduling and adaptive traffic light problems in SDN based vehicular networks, and demand response management in macro station and micro-grid based smart grids are discussed. Security, privacy and trust issues, control information overhead and network control policies do not seem to be studied so far within the fog computing concept.
ISBN 9781479950447
Language eng
DOI 10.1109/ATNAC.2014.7020884
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072740

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 99 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 396 Abstract Views, 7 File Downloads  -  Detailed Statistics
Created: Fri, 08 May 2015, 12:38:49 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.