MétaCan
Menu
Back to cohort
Record W2124228745 · doi:10.1109/icpp-w.2008.25

An Analysis of QoS Provisioning for Sockets Direct Protocol vs. IPoIB over Modern InfiniBand Networks

2008· article· en· W2124228745 on OpenAlexafffund
Ryan E. Grant, Mohammad Javad Rashti, Ahmad Afsahi

Bibliographic record

VenueProceedings - International Workshops on Parallel Processing · 2008
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsInfiniBandQuality of serviceComputer scienceComputer networkProvisioningService (business)Protocol (science)Distributed computing

Abstract

fetched live from OpenAlex

The introduction of quality of service (QoS) features for socket-based communication over InfiniBand networks provides the opportunity to enact service differentiation for traditional socket-based applications over high performance networks for the first time. The effectiveness of such techniques in providing control over the quality of service that individual connections experience is important in managing traffic in modern data centers. In this paper, we quantitatively analyze the performance benefits of QoS provisioning in InfiniBand networks for sockets direct protocol (SDP) and IPoIB. We find that QoS provisioning can provide prioritized service for sockets-based streams, with more apparent impact on SDP traffic than IPoIB.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.301
Teacher spread0.282 · 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 designSimulation or modeling
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

Citations14
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueProceedings - International Workshops on Parallel ProcessingSame topicNetwork Traffic and Congestion ControlFrench-language works237,207