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A site selection method of DNS using the particle swarm optimization algorithm
Liao, Yilan1; Chen, Wenwen2,5; Wu, Kaichao2; Li, Dongyue1; Liu, Xin3; Geng, Guanggang2,4; Su, Zheng2; Zheng, Zheng2,5
2017-10-01
Source PublicationTRANSACTIONS IN GIS
ISSN1361-1682
Volume21Issue:5Pages:969-983
Corresponding AuthorLiao, Yilan(liaoyl@lreis.ac.cn)
AbstractThe 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.
KeywordDNS logs genetic multi-objective particle swarm and particle swarm optimization algorithms site selection methods
DOI10.1111/tgis.12244
WOS KeywordCONVERGENCE ANALYSIS ; PARAMETER SELECTION ; ALLOCATION ; STABILITY ; INTELLIGENCE
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational 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
WOS Research AreaGeography
WOS SubjectGeography
WOS IDWOS:000412577200008
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62130
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiao, Yilan
Affiliation1.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
Recommended Citation
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.
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