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Record W2161756652 · doi:10.1109/icc.1998.682911

Performance analysis of OBP based multimedia multibeam satellite networks

2002· article· en· W2161756652 on OpenAlexaff
Thimma V. J. Ganesh Babu, Tho Le‐Ngoc, J.F. Hayes

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAdvanced Queuing Theory Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsJitterComputer scienceReal-time computingFrame (networking)Computer networkMarkov processMarkov chainPoisson distributionTelecommunications

Abstract

fetched live from OpenAlex

We consider a priority based service for traffic on the up and down links of satellite networks employing on-board processing. Real-time and jitter tolerant traffic are modulated onto a frame based flow structure with priority given to the real-time traffic. The real-time cell arrivals exceeding the frame capacity are lost while excess jitter tolerant traffic is stored. We develop an analytical technique to find the cell loss probability of the real-time traffic and the buffer overflow probability of the jitter tolerant traffic. The two sources of real-time traffic, voice and video, are each modeled as two-state Markov modulated Poisson processes (MMPP). The MMPP is also used to model jitter tolerant traffic. These results are applied to the up link of a satellite system.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.209
Teacher spread0.194 · 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
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
Published2002
Admission routes1
Has abstractyes

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