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Record W2106656359 · doi:10.1109/mnet.2008.4626229

Network Address Translation for the Stream Control Transmission Protocol

2008· article· en· W2106656359 on OpenAlexaff
Michael Tüxen, Irene Rüngeler, Randall Stewart, Erwin P. Rathgeb

Bibliographic record

VenueIEEE Network · 2008
Typearticle
Languageen
FieldEngineering
TopicIPv6, Mobility, Handover, Networks, Security
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsComputer scienceComputer networkUser Datagram ProtocolNetwork address translationPort Control ProtocolStream Control Transmission ProtocolResource Reservation ProtocolInternet layerMultihomingNAT traversalTransport layerTransmission Control ProtocolDatagramInternet Protocol Control ProtocolInternet protocol suiteThe InternetInternet ProtocolNetwork addressProtocol (science)Operating systemLayer (electronics)Path (computing)Network packet

Abstract

fetched live from OpenAlex

Network address translation is widely deployed in the Internet and supports the Transmission Control Protocol and the User Datagram Protocol as transport layer protocols. Although part of the kernels of all recent Linux distributions, namely, the FreeBSD 7 and the Solaris 10 operating systems, the new Internet Engineering Task Force transport protocol - Stream Control Transmission Protocol - is not supported on most NAT middleboxes yet. This article discusses the deficiencies of using existing NAT methods for SCTP and describes a new SCTP-specific NAT concept. This concept is analyzed in detail for several important network scenarios, including peer-to-peer, transport layer mobility, and multihoming.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0320.030

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.251
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2008
Admission routes1
Has abstractyes

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