QoS estimate model of DNS based on contribution degree analysis

Yuejin Du; Zhaoxin Zhang; Xiao Yang; Ping Hu; Lihao Ren

QoS estimate model of DNS based on contribution degree analysis

Yuejin Du
, Zhaoxin Zhang^*
, Xiao Yang
, Ping Hu
, Lihao Ren

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
National Computer Network Emergency Response Technical Team Coordination Center of China
Beijing University of Posts and Telecommunications
CAS - Institute of Computing Technology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Aiming at the quality of service(QoS) estimate problem of domain name systems(DNS), the QoS of networks between users and DNS recursive resolution servers are estimated by analyzing the network data streams and combining with the average lengths of routing paths and other four parameters influencing the network performance. The contribution degree of every parameter for QoS is quantitatively analyzed. Combining with the result of the quantitative analysis, a QoS estimate model of DNS based on contribution degrees is established. The QoS of 55 DNS servers from home and abroad are tested and estimated with the Alex top 1 000 domains as the benchmark data. The test and estimate results of QoS show that the QoS level differences of DNS servers are great, and the DNS server close to the probe point has relatively superior QoS, which should be selected first.

Original language	English
Pages (from-to)	833-838
Number of pages	6
Journal	Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology
Volume	37
Issue number	6
State	Published - Dec 2013
Externally published	Yes

Keywords

Contribution degrees
Domain name systems
Quality of service
Routing paths

Cite this

@article{f3319710a4b141e2b865ed0851dacb1f,

title = "QoS estimate model of DNS based on contribution degree analysis",

abstract = "Aiming at the quality of service(QoS) estimate problem of domain name systems(DNS), the QoS of networks between users and DNS recursive resolution servers are estimated by analyzing the network data streams and combining with the average lengths of routing paths and other four parameters influencing the network performance. The contribution degree of every parameter for QoS is quantitatively analyzed. Combining with the result of the quantitative analysis, a QoS estimate model of DNS based on contribution degrees is established. The QoS of 55 DNS servers from home and abroad are tested and estimated with the Alex top 1 000 domains as the benchmark data. The test and estimate results of QoS show that the QoS level differences of DNS servers are great, and the DNS server close to the probe point has relatively superior QoS, which should be selected first.",

keywords = "Contribution degrees, Domain name systems, Quality of service, Routing paths",

author = "Yuejin Du and Zhaoxin Zhang and Xiao Yang and Ping Hu and Lihao Ren",

year = "2013",

month = dec,

language = "英语",

volume = "37",

pages = "833--838",

journal = "Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology",

issn = "1005-9830",

publisher = "University of Science and Technology",

number = "6",

}

TY - JOUR

T1 - QoS estimate model of DNS based on contribution degree analysis

AU - Du, Yuejin

AU - Zhang, Zhaoxin

AU - Yang, Xiao

AU - Hu, Ping

AU - Ren, Lihao

PY - 2013/12

Y1 - 2013/12

N2 - Aiming at the quality of service(QoS) estimate problem of domain name systems(DNS), the QoS of networks between users and DNS recursive resolution servers are estimated by analyzing the network data streams and combining with the average lengths of routing paths and other four parameters influencing the network performance. The contribution degree of every parameter for QoS is quantitatively analyzed. Combining with the result of the quantitative analysis, a QoS estimate model of DNS based on contribution degrees is established. The QoS of 55 DNS servers from home and abroad are tested and estimated with the Alex top 1 000 domains as the benchmark data. The test and estimate results of QoS show that the QoS level differences of DNS servers are great, and the DNS server close to the probe point has relatively superior QoS, which should be selected first.

AB - Aiming at the quality of service(QoS) estimate problem of domain name systems(DNS), the QoS of networks between users and DNS recursive resolution servers are estimated by analyzing the network data streams and combining with the average lengths of routing paths and other four parameters influencing the network performance. The contribution degree of every parameter for QoS is quantitatively analyzed. Combining with the result of the quantitative analysis, a QoS estimate model of DNS based on contribution degrees is established. The QoS of 55 DNS servers from home and abroad are tested and estimated with the Alex top 1 000 domains as the benchmark data. The test and estimate results of QoS show that the QoS level differences of DNS servers are great, and the DNS server close to the probe point has relatively superior QoS, which should be selected first.

KW - Contribution degrees

KW - Domain name systems

KW - Quality of service

KW - Routing paths

UR - https://www.scopus.com/pages/publications/84892913297

M3 - 文章

AN - SCOPUS:84892913297

SN - 1005-9830

VL - 37

SP - 833

EP - 838

JO - Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology

JF - Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology

IS - 6

ER -

QoS estimate model of DNS based on contribution degree analysis

Abstract

Keywords

Other files and links

Fingerprint

Cite this