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Record W2049289162 · doi:10.1109/icc.2010.5502557

Asynchronous and Reliable Multimedia Multicast with Heterogeneous QoS Constraints

2010· article· en· W2049289162 on OpenAlexaff
Weixing Sheng, W.-Y. Chan, Steven D. Blostein, Yu Cao

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVideo Coding and Compression Technologies
Canadian institutionsQueen's University
Fundersnot available
KeywordsMulticastComputer scienceAsynchronous communicationComputer networkQuality of serviceNetwork packetScalabilityReliable multicastTransmission (telecommunications)Source-specific multicastPragmatic General MulticastScheme (mathematics)Distributed computingTelecommunications

Abstract

fetched live from OpenAlex

We present an asynchronous and reliable multicast framework for a scalable multimedia system. An unequal error protection (UEP) transmission scheme employing a layered packetization structure and rateless codes is proposed. With this scheme, asynchronous data reception and guaranteed quality-of-service (QoS) can be achieved at the same time. Furthermore, a novel allocation algorithm is developed within the layered multicast framework, which can minimize the system cost in terms of the number of transmitted packets. Simulation results show that the proposed rateless-codes-based transmission scheme works well for asynchronous multicasting to heterogeneous receivers, and can be applied to a wide range of multimedia applications.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2010
Admission routes1
Has abstractyes

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