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Computer Communications
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Computer Communications
Article
License: CC BY
Data sources: UnpayWall
DBLP
Article . 2020
Data sources: DBLP
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Performance analysis of SIIT implementations: Testing and improving the methodology

Authors: Gábor Lencse; Keiichi Shima;

Performance analysis of SIIT implementations: Testing and improving the methodology

Abstract

Abstract In this paper, the viability of the throughput and frame loss rate benchmarking procedures of RFC 8219 is tested by executing them to examine the performance of three free software SIIT (also called stateless NAT64) implementations: Jool, TAYGA, and map646. An important methodological problem of the two tested benchmarking procedures is pointed out: they use improper timeout setting. A solution of individually checking the timeout for each frame is proposed to get more reasonable results, and its feasibility is demonstrated. The unreliability of the results caused by the lack of requirement for repeated tests is also pointed out, and the need for relevant number of tests is demonstrated. The possibility of an optional non-zero frame loss acceptance criterion for throughput measurement is also discussed. The benchmarking measurements are performed using two different computer hardware, and all relevant results are disclosed and compared. The performance of the kernel based Jool was found to scale up well with the number of active CPU cores and Jool also significantly outperformed the two other SIIT implementations, which work in the user space.

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    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).
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    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
9
Top 10%
Top 10%
Top 10%
hybrid