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

文献类型：期刊论文

作者Liao, Yilan5; Chen, Wenwen2,4; Wu, Kaichao4; Li, Dongyue5; Liu, Xin3; Geng, Guanggang1,4; Su, Zheng4; Zheng, Zheng2,4
刊名TRANSACTIONS IN GIS
出版日期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
DOI10.1111/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.
WOS关键词CONVERGENCE ANALYSIS ; PARAMETER SELECTION ; ALLOCATION ; STABILITY ; INTELLIGENCE
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研究方向Geography
语种英语
WOS记录号WOS:000412577200008
出版者WILEY
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
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.China Internet Network Informat Ctr, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Curtin Univ, Australasian Joint Res Ctr Bldg Informat Modellin, Bentley, WA 6102, Australia
4.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, 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.

入库方式： OAI收割

来源：地理科学与资源研究所

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