inis 15(2): e1

Research Article

Empirical analysis of IPv6 transition technologies using the IPv6 Network Evaluation Testbed

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  • @ARTICLE{10.4108/inis.2.2.e1,
        author={Marius Georgescu and Hiroaki Hazeyama and Youki Kadobayashi and Suguru Yamaguchi},
        title={Empirical analysis of IPv6 transition technologies using the IPv6 Network Evaluation Testbed},
        journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
        volume={2},
        number={2},
        publisher={ICST},
        journal_a={INIS},
        year={2015},
        month={2},
        keywords={IPv6 transition, IETF IPv6 scenario, 464 scenario, Enterprise Networks, IPv6NET, Asamap, MAPe, MAPt, DSLite, 464XLAT},
        doi={10.4108/inis.2.2.e1}
    }
    
  • Marius Georgescu
    Hiroaki Hazeyama
    Youki Kadobayashi
    Suguru Yamaguchi
    Year: 2015
    Empirical analysis of IPv6 transition technologies using the IPv6 Network Evaluation Testbed
    INIS
    ICST
    DOI: 10.4108/inis.2.2.e1
Marius Georgescu1,*, Hiroaki Hazeyama1, Youki Kadobayashi1, Suguru Yamaguchi1
  • 1: Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara 630-0192, JAPAN
*Contact email: liviumarius-g@is.naist.jp

Abstract

IPv6 has yet to become more than a worthy successor of IPv4, which remains, for now, the dominant Internet Protocol. This is due to the complicated transition period through which the Internet will have to go, until IPv6 will completely replace IPv4. One of the challenges introduced by this transition is to decide which technology is more feasible for a particular network scenario. To that end, this article proposes the IPv6 Network Evaluation Testbed (IPv6NET), a research project whose ultimate goal is to obtain feasibility data in order to formulate a coherent, scenario-based IPv6 transition strategy. The paper presents the overview of IPv6NET, the testing methodology and empirical results for a specific network scenario. The presented empirical feasibility data includes network performance data such as latency, throughput, packet loss, and operational capability data, such as configuration, troubleshooting and applications capability.