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Record W1621595810

5G 이동통신 네트워크를 위한 SDN과 NFV 기술 동향

2015· article· ko· W1621595810 on OpenAlex
오유미, 김철훈, 이성원

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue정보와 통신 : 한국통신학회지 = Information & communications magazine · 2015
Typearticle
Languageko
FieldComputer Science
TopicInternet of Things and Social Network Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsNetwork Functions VirtualizationMetisComputer scienceComputer networkCellular networkFunction (biology)VirtualizationWirelessSoftwareSoftware-defined networkingMobile telephonyWireless networkTelecommunicationsWorld Wide WebCloud computingOperating systemMobile radio
DOInot available

Abstract

fetched live from OpenAlex

네트워크 장비 업체나 통신사뿐만 아니라 여러 국가들에서도 상용화를 목표로 5G 기술 확보를 위한 대규모의 연구 개발 역량을 집결하고 있다. 이 중 대다수의 연구 개발은 SDN(Software Defined Network)과 NFV(Network Function Virtualization)를 기반으로 두고 있다. 이는 5G의 아키텍처가 동적인 네트워크를 생성하는데 초점을 맞추고 있기 때문이다. 이에 본 고에서는 METIS 2020(Mobile and wireless communication Enablers for the Twenty-twenty Information Society)에서 발표한 최종 리포트를 참고하여 5G 이동통신 네트워크에서의 SDN과 NFV의 역할에 대해 알아 보고, 현재 진행 중인 개발 행태를 보기 위해 대표 기업들의 동향을 살펴본다.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.009
Open science0.0060.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.015

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 head0.048
GPT teacher head0.301
Teacher spread0.253 · 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