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Record W2061178068 · doi:10.2514/6.2006-5454

Performance Guarantees for Expanded Broadband Multimedia Satellite Services

2006· article· en· W2061178068 on OpenAlexafffund
Anand Srinivasan, Peter Andreadia, Leo Hartman

Bibliographic record

Venue24th AIAA International Communications Satellite Systems Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicSatellite Communication Systems
Canadian institutionsCanadian Space AgencyEion (Canada)
FundersCanadian Space Agency
KeywordsComputer scienceBroadbandSatelliteSatellite broadcastingMultimediaCommunications satelliteBroadband networksTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Today, many have attempted to provide multimedia services using IP over Satellite broadband infrastructure. The traffic complexity and real-time constraints of the multimedia services pose challenges to guarantee the delivery of packets end-to-end. At present, Quality of Service (QoS) in the router’s forwarding plane provides traffic differentiation capability in the traditional terrestrial networks. Traditional networking systems that implement QoS have packet classification and dropping mechanisms in the network edge and strong shapers and schedulers in the network core. In this paper, we clearly show that adapting the traditional QoS techniques to satellite medium will not optimize multimedia and other real-time broadband services. We also propose a new QoS architecture that provides a mechanism to optimize multimedia services over expanded broadband offering. In addition, we clearly establish in this paper using simulation results, that the proposed architecture is necessary to provide service guarantees for multimedia traffic over expanded broadband satellite networks. The results provided in the paper demonstrate that the proposed architecture has lower delay and jitter and higher packet delivery ratio compared to no QoS or partial QoS implementations.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0030.000
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 head0.031
GPT teacher head0.259
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.

Study designNot applicable
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

Citations0
Published2006
Admission routes2
Has abstractyes

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