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Record W2764058973

Analyse de performance des plateformes infonuagiques

2016· article· fr· W2764058973 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.

fundA Canadian funder is recorded on the work.
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

VenuePolyPublie (École Polytechnique de Montréal) · 2016
Typearticle
Languagefr
FieldComputer Science
TopicSoftware System Performance and Reliability
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHumanitiesPolitical sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Cloud computing usage has experienced a tremendous growth in companies over the past few years.It exposes, through the Internet, a set of technologies granting access to computing resources.These technologies virtualize physical machines to provide virtual resources which are isolated one from another.If this isolation mechanism is a guarantee for data security, it can cause a serious drop in performance.Indeed, virtual systems have the illusion of an exclusive access to the host's resources and they use them without considering the needs of others.This causes some interferences and decreases the performance of guest environments.Some applications, known as cloud operating systems, are commonly used to supervise cloud computing platforms.These applications simplify the interactions of the users with the infrastructure.However, they can cause faulty executions when misconfigured.Here we will focus on issues related to the use of Openstack as a cloud management application.The objective of this study is to provide administrators with a tool to monitor cloud tasks and locate potential drops of performance in both application and virtualization layers.Our approach is based on tracing, to produce detailed information about service operations.By tracing the various layers of the infrastructure simultaneously, it is possible to follow user requests and accurately determine the performance of deployed services.We use LTTng, a high-performance tracer, with very low impact on system behavior when tracing is enabled.It will be used to investigate all the host user space and kernel space executions.The traces will be collected and aggregated into a dedicated system to perform the analysis.The administrator can then obtain a resource utilization report, and be able to identify service troubles and subsequently take action to correct the problems.1. dans le domaine de l'infonuagique, un commutateur joue souvent le rle de routeur virtuel 2. Protocole rseau qui assure la configuration automatique des paramtres IP d'une station.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.384
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.004
Open science0.0020.001
Research integrity0.0010.001
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 head0.014
GPT teacher head0.237
Teacher spread0.223 · 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