University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A Data-centered Fog Platform for Smart Living

Li, J, Jin, J, Yuan, D, Palaniswami, M and Moessner, Klaus (2017) A Data-centered Fog Platform for Smart Living In: From Internet of Things to Smart Cities: Enabling Technologies. Computer & Information Science . CRC Press, Taylor & Francis Group, pp. 357-377. ISBN 978-1-4987-7378-2

[img] Text
BC5-A Data-Centered Fog Platform for Smart Living.pdf - Version of Record
Restricted to Repository staff only

Download (482kB)

Abstract

Nowadays, smart environments (e.g., smart home, smart city) are built heavily relying on Cloud computing for the coordination and collaboration among smart objects. The Cloud is typically centralized but smart objects are ubiquitously distributed; thus, data transmission latency (i.e., end-to-end delay or response time) between Cloud and smart objects is a critical issue especially to the applications that have strict delay requirements. To address this concern, a new Fog computing paradigm has been recently proposed by the industry. The key idea is to bring the computing power from the remote Cloud closer to the users, which further enables real-time interaction and location-based services. In particular, the local processing capability of Fog computing significantly scales down the data volume towards the Cloud, and it in turn has great impacts on the entire Internet. In this chapter, smart living as one of the primary elements of smart cities has been conceptualized to EHOPES, namely smart Energy, smart Health, smart Office, smart Protection, smart Entertainment and smart Surroundings. And then the data flow analysis has been investigated to disclose a variety of data flow characteristics. Based on these studies, a data-centered Fog platform has been developed to support smart living. Case studies are also conducted to validate and evaluate the proposed platform.

Item Type: Book Section
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Li, J
Jin, J
Yuan, D
Palaniswami, M
Moessner, KlausK.Moessner@surrey.ac.uk
Editors :
NameEmailORCID
Sun, H
Wang, C
Ahmad, B
Date : 20 September 2017
Copyright Disclaimer : Copyright 2017 by Taylor & Francis Group, LLC. CRC Press is an imprint of Taylor & Francis Group, an Informa business.
Related URLs :
Depositing User : Melanie Hughes
Date Deposited : 08 May 2018 13:11
Last Modified : 16 Jan 2019 19:09
URI: http://epubs.surrey.ac.uk/id/eprint/846368

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800