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Record W1512634875 · doi:10.1109/iss.1990.765801

A multistage atm switch with interstage buffer

2005· article· en· W1512634875 on OpenAlexaff
Hyong Sok Kim, Alberto Leon‐Garcia

Bibliographic record

VenueInternational Symposium on Switching · 2005
Typearticle
Languageen
FieldComputer Science
TopicInterconnection Networks and Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsQueueing theoryComputer scienceComputer networkAsynchronous Transfer ModeNetwork packetPacket switchingThroughputAsynchronous communicationLatency (audio)Cut-through switchingReal-time computingBurst switchingTransmission delayTelecommunicationsWireless

Abstract

fetched live from OpenAlex

Asynchronous Transfer Mode (ATM) is the recommended transport technique for the Broadband ISDN by CCITT (I.121). Many switches have been proposed to accommodate the ATM that requires fast packet switching capability [1-8]. The proposed switches for the Broadband ISDN can be cLassified as input queueing or output queueing type. The input queueing type have a throughput performance which is approximately 58 percent that of the output queueing type [1]. However, output queueing networks require larger amounts of hardware than input queueing networks [2]. In this paper, we propose a new multistage switch with internal buffering that approaches a maximum throughput of 100% as the buffering is increased. The switch is capable of broadcasting and self-routing. It consists of two switching planes which consist of packet processors, 2x2 switching elements, distributors and buffers located between stages and in the output ports. The internal data rate of the proposed switch is the same as that of the arriving information stream. In this sense, the switch does not require speedup. The switch has Iog2 N stages that forward packets in store-and-forward fashion, thus incurring a latency of log2 N time periods. Performance analysis shows additional delay is small.

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: none
Teacher disagreement score0.894
Threshold uncertainty score0.768

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 communication0.0010.001
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 head0.010
GPT teacher head0.237
Teacher spread0.228 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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