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Record W2130330271 · doi:10.1002/ecja.20212

A new multihoming architecture based on overlay network

2006· article· en· W2130330271 on OpenAlexaff
Satoshi Uda, Ogashiwa Nobuo, Kenichi Nagami, Kuniaki Kondo, Ikuo Nakagawa, Yoichi Shinoda, Hiroshi Esaki

Bibliographic record

VenueElectronics and Communications in Japan (Part I Communications) · 2006
Typearticle
Languageen
FieldComputer Science
TopicPeer-to-Peer Network Technologies
Canadian institutionsIntecsea (Canada)
Fundersnot available
KeywordsMultihomingComputer networkSoftware deploymentComputer scienceArchitectureScalabilityOverlay networkDistributed computingRobustness (evolution)OverlayNetwork architectureThe InternetWorld Wide WebInternet Protocol

Abstract

fetched live from OpenAlex

Abstract According to the deployment of the Internet, the requirement for multihoming connection, intended to improve the accessibility of networks with higher quality or/and robustness, is becoming serious. However, in the existing or legacy multihoming systems, the proposed routing architecture cannot tolerate further increases in the number of multihoming users. Also, although improvement of accessibility when failures occur could be achieved, it is difficult to effectively use several connections by multihoming under normal operating conditions. In this paper, a multihome architecture based on an overlay network is proposed as a new architecture resolving the above problems. By means of the proposed system, improved scalability with respect to the number of users and flexible (policy) control against incoming traffic are applicable, while also achieving improved accessibility under failure conditions, which is one of the main objectives for multihoming. © 2006 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 89(5): 41–51, 2006; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecja.20212

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.730
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0090.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.257
Teacher spread0.241 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations13
Published2006
Admission routes1
Has abstractyes

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