eprintid: 4501
rev_number: 9
eprint_status: archive
userid: 408
dir: disk0/00/00/45/01
datestamp: 2021-06-21 07:06:50
lastmod: 2021-06-21 07:06:50
status_changed: 2021-06-21 07:06:50
type: article
metadata_visibility: no_search
creators_name: Pham, Manh Linh
creators_name: Nguyen, Truong Thang
creators_name: Hoang, Tien Quang
creators_id: linhmp@vnu.edu.vn
creators_id: ntthang@ioit.ac.vn
creators_id: hoangtienquang@hpu2.edu.vn
title: Towards an Elastic Fog Computing Framework for IoT Big Data Analytics Applications
ispublished: inpress
subjects: IT
subjects: Scopus
subjects: isi
divisions: FIMO
divisions: fac_fit
keywords: fog computing, Internet of Things, elasticity, big data analytics, smart home
abstract: IoT applications have been being moved to the cloud during the last decade in order to reduce operating costs and provide more scalable services to users. However, IoT latency-sensitive big data streaming systems (e.g. smart home application) is not suitable with the cloud and needs another model to fit in. Fog computing, aiming at bringing computation, communication, and storage resources from
"cloud to ground" where closes to smart end devices, seems to be a complementary appropriate proposal for such type of application. Although there are various research efforts and solutions for deploying and conducting elasticity of IoT big data analytics applications on the cloud, similar work on Fog computing is not many. This article firstly introduces AutoFog, a Fog computing framework, which
provides holistic deployment and an elasticity solution for fog-based IoT big data analytics applications including a novel mechanism for elasticity provision. Secondly, the article also points out requirements that a framework of IoT big data analytics application on fog environment should support. Finally, through a realistic smart home use case, extensive experiments were conducted to validate typical aspects of our proposed framework.
date: 2021
publisher: Hindawi
contact_email: linhmp@vnu.edu.vn
full_text_status: none
publication: Wireless Communications and Mobile Computing
refereed: TRUE
issn: 1530-8677
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funders: Graduate University of Science and Technology, Vietnam Academy of Science and Technology
projects: GUST.STS.ÐT2019-TT02
citation:   Pham, Manh Linh and Nguyen, Truong Thang and Hoang, Tien Quang  (2021) Towards an Elastic Fog Computing Framework for IoT Big Data Analytics Applications.  Wireless Communications and Mobile Computing .    ISSN 1530-8677    (In Press)