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Record W2151415565 · doi:10.1109/ccece.1997.608329

Performance of ABR service over ATM networks with mixed switch types

2002· article· en· W2151415565 on OpenAlexaff
M.H. Kayali, Hussein Alnuweiri, Victor C. M. Leung

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicNetwork Traffic and Congestion Control
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAsynchronous Transfer ModeComputer scienceComputer networkInteroperabilityService (business)ATM adaptation layerNetwork congestionOperating system

Abstract

fetched live from OpenAlex

The ATM Forum has adopted rate-based schemes as the standard congestion control mechanisms for available bit rate (ABR) service. Two types of rate-based schemes are supported by the ATM Forum specification, namely binary feedback and explicit rate feedback. Since the implementation of one of these schemes in ATM switches is left to the switch manufacturers, it is expected to have both types working on the same network. The compatibility of switches each running a different scheme was considered in the ATM Forum specification. However, since each type of switch has its own merits and demerits, the interoperability of these switch types and its impact on the performance of the network deserves extensive studies. This paper looks at the steady state performance of ABR service in networks consisting of both switch types (i.e. heterogeneous networks). In order to find the best locations for each switch type, several cases of switch type locations are considered. Moreover, the impact of ABR sources parameter setting on the performance of heterogeneous networks is studied.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.175
Teacher spread0.167 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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

Citations2
Published2002
Admission routes1
Has abstractyes

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