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

Xuemeng ZHAI  Mingda WANG  Hangyu HU  Guangmin HU  

IEICE TRANSACTIONS on Communications   Vol.E100-B   No.4   pp.510-517
Publication Date: 2017/04/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.2016EBP3273
Type of Manuscript: PAPER
Category: Fundamental Theories for Communications
internet data center,  network behavior analysis,  netflow,  anonymization,  complex network,  

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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.