A site selection method of DNS using the particle swarm optimization algorithm

doi:10.1111/tgis.12244

	A site selection method of DNS using the particle swarm optimization algorithm
	Liao, Yilan 1; Chen, Wenwen 2,5; Wu, Kaichao 2; Li, Dongyue 1; Liu, Xin 3; Geng, Guanggang 2,4; Su, Zheng 2; Zheng, Zheng 2,5
刊名	TRANSACTIONS IN GIS
	2017-10-01
卷号	21 期号:5 页码:969-983
关键词	DNS logs genetic multi-objective particle swarm and particle swarm optimization algorithms site selection methods
ISSN号	1361-1682
DOI	10.1111/tgis.12244
通讯作者	Liao, Yilan(liaoyl@lreis.ac.cn)
英文摘要	The Domain Name System (DNS) is an essential component of the functionality of the Internet. With the growing number of domain names and Internet users, the growing rate and number of visit quantity and analytic capacity of DNS are also proportional to the Internet users' size. This study (based on the analysis of access popularity and the distribution of massive DNS log data) aims to optimize the configuration of the DNS sites, which has become an important problem. The ArcGIS software is used to show the temporal and spatial distributions of visit source of DNS logs. This study also analyzes the influence of different sites and the dependence on DNS service in different regions of the world. This information is important to further decision-making on new DNS site selection. This article proposes new DNS site selection solutions, using particle swarm and multi-objective particle swarm optimization algorithms for one new site and multiple sites, respectively. The results from particle swarm optimization, genetic, and simulated annealing algorithms were compared and experimental results confirmed the correctness and effectiveness of the proposed methods. The proposed methods could also be extended to solve other layout related issues, such as onsite facility layout and road network optimization.
资助项目	National Natural Science Foundation of China[61202321] ; National Natural Science Foundation of China[41471377] ; National Natural Science Foundation of China[41101431] ; Computer Network Information Center of the Chinese Academy of Sciences[CNIC_PY_1406] ; China Internet Network Information Center (DNSLab Project)[DNSLAB-2013-D-U-8] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
WOS关键词	CONVERGENCE ANALYSIS ; PARAMETER SELECTION ; ALLOCATION ; STABILITY ; INTELLIGENCE
WOS研究方向	Geography
语种	英语
出版者	WILEY
WOS记录号	WOS:000412577200008
资助机构	National Natural Science Foundation of China ; Computer Network Information Center of the Chinese Academy of Sciences ; China Internet Network Information Center (DNSLab Project) ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/62129]
专题	中国科学院地理科学与资源研究所
通讯作者	Liao, Yilan
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China 3.Curtin Univ, Australasian Joint Res Ctr Bldg Informat Modellin, Bentley, WA 6102, Australia 4.China Internet Network Informat Ctr, Beijing 100190, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Liao, Yilan,Chen, Wenwen,Wu, Kaichao,et al. A site selection method of DNS using the particle swarm optimization algorithm[J]. TRANSACTIONS IN GIS,2017,21(5):969-983.
APA	Liao, Yilan.,Chen, Wenwen.,Wu, Kaichao.,Li, Dongyue.,Liu, Xin.,...&Zheng, Zheng.(2017).A site selection method of DNS using the particle swarm optimization algorithm.TRANSACTIONS IN GIS,21(5),969-983.
MLA	Liao, Yilan,et al."A site selection method of DNS using the particle swarm optimization algorithm".TRANSACTIONS IN GIS 21.5(2017):969-983.