Internet Data Center IP Identification and Connection Relationship Analysis Based on Traffic Connection Behavior Analysis

Xuemeng ZHAI; Mingda WANG; Hangyu HU; Guangmin HU

doi:10.1587/transcom.2016EBP3273

Internet Data Center IP Identification and Connection Relationship Analysis Based on Traffic Connection Behavior Analysis

Xuemeng ZHAI, Mingda WANG, Hangyu HU, Guangmin HU

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Identifying IDC (Internet Data Center) IP addresses and analyzing the connection relationship of IDC could reflect the IDC network resource allocation and network layout which is helpful for IDC resource allocation optimization. Recent research mainly focuses on minimizing electricity consumption and optimizing network resource allocation based on IDC traffic behavior analysis. However, the lack of network-wide IP information from network operators has led to problems like management difficulties and unbalanced resource allocation of IDC, which are still unsolved today. In this paper, we propose a method for the IP identification and connection relationship analysis of IDC based on the flow connection behavior analysis. In our method, the frequent IP are extracted and aggregated in backbone communication network based on the traffic characteristics of IDC. After that, the connection graph of frequent IP (CGFIP) are built by analyzing the behavior of the users who visit the IDC servers, and IDC IP blocks are thus identified using CGFIP. Furthermore, the connection behavior characteristics of IDC are analyzed based on the connection graphs of IDC (CGIDC). Our findings show that the method can accurately identify the IDC IP addresses and is also capable of reflecting the relationships among IDCs effectively.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.4 pp.510-517

Publication Date: 2017/04/01

Publicized: 2016/10/21

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3273

Type of Manuscript: PAPER

Category: Fundamental Theories for Communications

Authors

Xuemeng ZHAI
  University of Electronic Science and Technology of China
Mingda WANG
  University of Electronic Science and Technology of China
Hangyu HU
  University of Electronic Science and Technology of China
Guangmin HU
  University of Electronic Science and Technology of China

Keyword

internet data center, network behavior analysis, netflow, anonymization, complex network

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Xuemeng ZHAI, Mingda WANG, Hangyu HU, Guangmin HU, "Internet Data Center IP Identification and Connection Relationship Analysis Based on Traffic Connection Behavior Analysis" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 4, pp. 510-517, April 2017, doi: 10.1587/transcom.2016EBP3273.
Abstract: Identifying IDC (Internet Data Center) IP addresses and analyzing the connection relationship of IDC could reflect the IDC network resource allocation and network layout which is helpful for IDC resource allocation optimization. Recent research mainly focuses on minimizing electricity consumption and optimizing network resource allocation based on IDC traffic behavior analysis. However, the lack of network-wide IP information from network operators has led to problems like management difficulties and unbalanced resource allocation of IDC, which are still unsolved today. In this paper, we propose a method for the IP identification and connection relationship analysis of IDC based on the flow connection behavior analysis. In our method, the frequent IP are extracted and aggregated in backbone communication network based on the traffic characteristics of IDC. After that, the connection graph of frequent IP (CGFIP) are built by analyzing the behavior of the users who visit the IDC servers, and IDC IP blocks are thus identified using CGFIP. Furthermore, the connection behavior characteristics of IDC are analyzed based on the connection graphs of IDC (CGIDC). Our findings show that the method can accurately identify the IDC IP addresses and is also capable of reflecting the relationships among IDCs effectively.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3273/_p

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@ARTICLE{e100-b_4_510,
author={Xuemeng ZHAI, Mingda WANG, Hangyu HU, Guangmin HU, },
journal={IEICE TRANSACTIONS on Communications},
title={Internet Data Center IP Identification and Connection Relationship Analysis Based on Traffic Connection Behavior Analysis},
year={2017},
volume={E100-B},
number={4},
pages={510-517},
abstract={Identifying IDC (Internet Data Center) IP addresses and analyzing the connection relationship of IDC could reflect the IDC network resource allocation and network layout which is helpful for IDC resource allocation optimization. Recent research mainly focuses on minimizing electricity consumption and optimizing network resource allocation based on IDC traffic behavior analysis. However, the lack of network-wide IP information from network operators has led to problems like management difficulties and unbalanced resource allocation of IDC, which are still unsolved today. In this paper, we propose a method for the IP identification and connection relationship analysis of IDC based on the flow connection behavior analysis. In our method, the frequent IP are extracted and aggregated in backbone communication network based on the traffic characteristics of IDC. After that, the connection graph of frequent IP (CGFIP) are built by analyzing the behavior of the users who visit the IDC servers, and IDC IP blocks are thus identified using CGFIP. Furthermore, the connection behavior characteristics of IDC are analyzed based on the connection graphs of IDC (CGIDC). Our findings show that the method can accurately identify the IDC IP addresses and is also capable of reflecting the relationships among IDCs effectively.},
keywords={},
doi={10.1587/transcom.2016EBP3273},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - Internet Data Center IP Identification and Connection Relationship Analysis Based on Traffic Connection Behavior Analysis
T2 - IEICE TRANSACTIONS on Communications
SP - 510
EP - 517
AU - Xuemeng ZHAI
AU - Mingda WANG
AU - Hangyu HU
AU - Guangmin HU
PY - 2017
DO - 10.1587/transcom.2016EBP3273
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2017
AB - Identifying IDC (Internet Data Center) IP addresses and analyzing the connection relationship of IDC could reflect the IDC network resource allocation and network layout which is helpful for IDC resource allocation optimization. Recent research mainly focuses on minimizing electricity consumption and optimizing network resource allocation based on IDC traffic behavior analysis. However, the lack of network-wide IP information from network operators has led to problems like management difficulties and unbalanced resource allocation of IDC, which are still unsolved today. In this paper, we propose a method for the IP identification and connection relationship analysis of IDC based on the flow connection behavior analysis. In our method, the frequent IP are extracted and aggregated in backbone communication network based on the traffic characteristics of IDC. After that, the connection graph of frequent IP (CGFIP) are built by analyzing the behavior of the users who visit the IDC servers, and IDC IP blocks are thus identified using CGFIP. Furthermore, the connection behavior characteristics of IDC are analyzed based on the connection graphs of IDC (CGIDC). Our findings show that the method can accurately identify the IDC IP addresses and is also capable of reflecting the relationships among IDCs effectively.
ER -