Insights into the issue in IPv6 adoption: A view from the Chinese IPv6 Application mix

Han, Chuntan; Li, Zhenyu; Xie, Gaogang; Uhlig, Steve; Yu-Lei, WU; Li, Liangxiong; Ge, Jingguo; Liu, Yunjie

doi:10.1002/cpe.3327

Cited by 7 publications

(3 citation statements)

References 27 publications

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“…Work by Foremski et al [24] and Plonka & Berger [37] investigate IPv6 adoption at the edge, which is orthogonal to our work. In recent years, various researchers took country and domain specific perspectives on IPv6 adoption, e.g., [12,25,33].…”

Section: Ipv6 Adoption and Readinessmentioning

confidence: 99%

How Ready is DNS for an IPv6-Only World?

Streibelt

Sattler²,

Lichtblau

et al. 2023

Lecture Notes in Computer Science

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DNS is one of the core building blocks of the Internet. In this paper, we investigate DNS resolution in a strict IPv6-only scenario and find that a substantial fraction of zones cannot be resolved. We point out, that the presence of an resource record for a zone’s nameserver does not necessarily imply that it is resolvable in an IPv6-only environment since the full DNS delegation chain must resolve via IPv6 as well. Hence, in an IPv6-only setting zones may experience an effect similar to what is commonly referred to as lame delegation.Our longitudinal study shows that the continuing centralization of the Internet has a large impact on IPv6 readiness, i.e., a small number of large DNS providers has, and still can, influence IPv6 readiness for a large number of zones. A single operator that enabled IPv6 DNS resolution–by adding IPv6 glue records–was responsible for around 20.3% of all zones in our dataset not resolving over IPv6 until January 2017. Even today, 10% of DNS operators are responsible for more than 97.5% of all zones that do not resolve using IPv6 .

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Section: Ipv6 Adoption and Readinessmentioning

confidence: 99%

How Ready is DNS for an IPv6-Only World?

Streibelt

Sattler²,

Lichtblau

et al. 2023

Lecture Notes in Computer Science

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“…Although related works include the analysis of IPv6 development based on IPv6 traffic and DNS request records [17,18], most of them cover a short period of time of fewer than two weeks and have a limited coverage. In our work, we use a dataset with a time span of up to one month and a half and we cover several universities in Shanghai.…”

Section: Request Prediction For Cdnsmentioning

confidence: 99%

DNS Request Log Analysis of Universities in Shanghai: A CDN Service Provider’s Perspective

et al. 2022

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Understanding the network usage patterns of university users is very important today. This paper focuses on the research of DNS request behaviors of university users in Shanghai, China. Based on the DNS logs of a large number of university users recorded by CERNET, we conduct a general analysis of the behavior of network browsing from two perspectives: the characteristics of university users’ behavior and the market share of CDN service providers. We also undertake experiments on DNS requests patterns for CDN service providers using different prediction models. Firstly, in order to understand the university users’ Internet access patterns, we select the top seven universities with the most DNS requests and reveal the characteristics of different university users. Subsequently, to obtain the market share of different CDN service providers, we analyze the overall situation of the traffic distribution among different CDN service providers and its dynamic evolution trend. We find that Tencent Cloud and Alibaba Cloud are leading in both IPv4 and IPv6 traffic. Baidu Cloud has close to 15% in IPv4 traffic, but almost no fraction in IPv6 traffic. Finally, for the characteristics of different CDN service providers, we adopt statistical models, traditional machine learning models, and deep learning models to construct tools that can accurately predict the change in request volume of DNS requests. The conclusions obtained in this paper are beneficial for Internet service providers, CDN service providers, and users.

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“…[2,4] describes a new way to protect outsourced data in cloud computing through access management. Yulei Wu et al [3] provide the insights into the issue in IPv6 adoption and show a special view from the Chinese IPv6 Application mix. To apply the encryption technique to protect the real-world data, key management is an essential issue.…”

mentioning

confidence: 99%

Security and reliability in big data

Xiang

Mueller

Zhang

2016

Concurrency and Computation

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The purpose of this special issue is to collate a selection of representative research articles that were primarily presented at the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2013). This annual conference brings together researchers and practitioners in the world from both academia and industry who are working on trusted computing and communications in computer systems and networks, in order to promote an exchange of ideas, discuss future collaborations, and develop new research directions.Big data is now invading in every aspect of our daily life and promise to revolutionize our life. For example, human beings create about 2.5 quintillion bytes of data every day in 2012, which come from sensors, individual archives, social networks, Internet of Things, enterprise, and Internet in all scales and formats. We face the most challenging issue, that is, how to effectively manage such a large amount of data and identify new ways to analyze large amounts of data and unlock information. This special issue presents many examples of how researchers, scholars, vendors, and practitioners are collaborating to address security and reliability research challenges.The scope of this special issue is broad and is representative of the multi-disciplinary nature of security and reliability. In addition to submissions that deal with security challenges, reliability issues, theoretical analysis, algorithms, and practical experience in the context of big data, this issue also includes articles that address practical challenges with handling large-scale data and applications.The effective protection of information and privacy in the context of big data is a central topic of this issue. Gwan-Hwan Hwang et al.[1] present a scheme to fulfill mutual nonrepudiation for cloud storage that is now a popular way in people's daily life. [2,4] describes a new way to protect outsourced data in cloud computing through access management. Yulei Wu et al. [3] provide the insights into the issue in IPv6 adoption and show a special view from the Chinese IPv6 Application mix. To apply the encryption technique to protect the real-world data, key management is an essential issue. Guojun Wang et al. [4] propose to use the multilinear forms to achieve decentralized Group Key Management for Hierarchical Access Control. Chang Liu et al.[5] develop a hierarchical key exchange scheme for secure scheduling and auditing of big data.How to effectively analyze and utilize large-scale data is an interesting topic of this issue. Jinson Zhang et al.[6] present a new density approach that can produce a new model for analyzing and visualizing big data analysis. Guiyi Wei et al. [7] target on the service cooperation in VANETs and introduce a game-based incentive model to improve the service cooperation.We encourage the readers to review [8][9][10] to gain insight into the breadth and depth of problems and innovative solutions about high performance and reliable computing in the context of big data, such a...

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Insights into the issue in IPv6 adoption: A view from the Chinese IPv6 Application mix

Cited by 7 publications

References 27 publications

How Ready is DNS for an IPv6-Only World?

How Ready is DNS for an IPv6-Only World?

DNS Request Log Analysis of Universities in Shanghai: A CDN Service Provider’s Perspective

Security and reliability in big data

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