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Computer Communications
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Benchmarking DNS64 implementations: Theory and practice

Authors: Gábor Lencse; Youki Kadobayashi;

Benchmarking DNS64 implementations: Theory and practice

Abstract

Abstract RFC 8219 defined benchmarking methodology for IPv6 transition technologies, including DNS64, which is used together with NAT64 to enable IPv6-only clients to communicate with IPv4-only servers. This paper investigates the performances of the most important DNS64 implementations, BIND, PowerDNS, and Unbound as a function of the number of CPU cores using the compulsory tests of RFC 8219. High differences are pointed out both in their single core DNS64 performances and in their scale-up from 1 to 16 CPU cores: whereas Unbound shows the highest single core performance, PowerDNS scales up the best. A serious issue is reported regarding BIND: its DNS64 performance does not increase from 4 to 16 CPU cores at all. A measurement complementary to RFC 8219 is introduced which proves to be useful in the investigation of the issues identified during testing. For the optional tests of RFC 8219, the requirements for the tester are clarified, which enabled us to carry out the tests at the given rates. Finally, a complementary performance metric, computing power relative DNS64 performance is introduced, which may provide further information to network operators to support their selection of the DNS64 implementation, which suits the best for their needs.

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    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Average
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