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Record W3121710325

Analisis Perbandingan Kinerja KVM dan LXC Pada Proxmox VE 4.3 di SMK Negeri 3 Sigi

2017· article· id· W3121710325 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueE-Proceedings KNS&I STIKOM Bali · 2017
Typearticle
Languageid
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsOperating systemComputer sciencePhysics
DOInot available

Abstract

fetched live from OpenAlex

Virtualisasi merupakan teknologi yang dapat memungkinkan sebuah komputer dapat membuat sebuah mesin atau komputer bayangan (Virtual) yang dapat berjalan dalam komputer tersebut namun dengan system operasi yang berbeda. Virtualisasi server adalah pemanfaatan perangkat lunak dalam membangun sebuah server dalam sebuah mesin atau komputer bayangan (Virtual). Proxmox VE adalah distro linux yang berbasis debian (x86_64) yang di buat khusus sebagai hypervisor atau disebut juga VirtualMachine Manager (VMM) tipe 1 (bare metal). Penelitian ini menggunakan metode experimental dengan membandingkan dua fitur utama yang ada dalam Proxmox VE 4.3 yaitu KVM dan LXC. Hasil dari penelitian ini didapatkan bahwa kinerja LXC lebih effisien dibandingkan KVM yang diuji dengan berbagai aktifitas.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0060.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.021
GPT teacher head0.272
Teacher spread0.252 · 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