eprintid: 4251
rev_number: 10
eprint_status: archive
userid: 295
dir: disk0/00/00/42/51
datestamp: 2020-12-12 15:29:21
lastmod: 2020-12-12 15:29:21
status_changed: 2020-12-12 15:29:21
type: conference_item
metadata_visibility: show
creators_name: Dang, Van Do
creators_name: Hoang, Xuan Tung
creators_name: Kim-Khoa, Nguyen
creators_id: dodv@vnu.edu.vn
creators_id: tunghx@vnu.edu.vn
creators_id: kim-khoa.nguyen@etsmtl.ca
title: Optimization of IoT Service Deployment In Multi-Layered Cloud-Fog Environment
ispublished: pub
subjects: ECE
subjects: IT
divisions: fac_fit
abstract: Recently, fog computing, which can be done in proximity to data sources, has emerged as a solution to provide low-latency Quality-of-Service (QoS) for IoT services in complement to centralized cloud with unlimited computing resources. Optimized service deployment on both cloud and fog environments is challenging due to their heterogeneity. Prior works mainly focus on mapping service functions and dependencies directly to physical network. In this paper, we propose a multi-layer mapping mechanism that efficiently deploys multiple IoT services to the appropriate virtual networks in physical infrastructure. We design greedy-based algorithms for solving this NP-hard problem with two phases executed sequentially. Experimental results show our proposed solution can reduce upto 80% of the total service cost compared to the state-of-the-art solutions.
date: 2020-08
date_type: published
full_text_status: public
pres_type: paper
event_title: IEEE Globecom 2020
event_type: conference
refereed: TRUE
citation:   Dang, Van Do and Hoang, Xuan Tung and Kim-Khoa, Nguyen  (2020) Optimization of IoT Service Deployment In Multi-Layered Cloud-Fog Environment.  In: IEEE Globecom 2020.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4251/1/15706459961.pdf